December 2008
- Wednesday, 17 December 2008, 1-2pm*
Host: Punarjay Chakravarty (Faculty of Engineering)
Title: People Tracking from a Moving Panoramic Camera
Abstract: This talk presents a method of detecting and tracking people
from a moving panoramic camera, such as one mounted on a mobile robot.
People's appearances in panoramic images are trained using the Adaboost
algorithm working on an extended set of Haar-like features. A multiple
target tracker is presented that is able to track people over time based
on the Haar detections, weed out the false alarms, and maintain tracks
despite missed detections. The tracker is able to maintain track IDs
through crossing tracks without the requirement of depth information.
- Friday, 12 December 2008, 1-2pm*
Host: Greg Paperin
Title: Dual Phase Evolution and Self-Organisation in Networks
Abstract: Complex adaptive and evolutionary systems exhibit a sustained
diversity, far-from-equilibrium dynamics, and permanent novelty and
adaptation in the absence of a global controller. Previous work shows
that many such systems can be represented as networks of interacting
components. These networks are typified by certain complex topologies.
Insights into the processes behind the emergence of complex network
structures and into the effects of such structures are necessary for
an understanding of properties that characterise adaptive and evolutionary
systems. Dual Phase Evolution (DPE) is a widespread natural process in
which networks underlying complex systems adapt and self-organise by
switching alternately between two phases: a phase of global interactions
and a phase of local interactions. Each phase is characterised by specific
global connectivity and interaction patterns. Here, I present ongoing work
on DPE in complex evolutionary systems. I show how DPE processes can give
rise to a wide variety of complex network topologies. In particular, this
includes the emergence of scale-free degree distributions in fixed-size
networks, as well as modular structures. I also show how DPE can be
responsible to the continuous novelty observed in many natural and
artificial evolutionary systems.
- Wednesday, 3 December 2008, 1-2pm*
Host: Sk. Mohammad Rokonuzzaman
Title: Multiple Radio Channels and Directional Antennas in Suburban Ad
Hoc Networks
Abstract: The Suburban Ad Hoc Network (SAHN) is a cooperative ad hoc
wireless mesh network. Nodes are owned and operated by end-users
without reliance on central infrastructure. It provides symmetrical
bandwidth allowing peer-to-peer services and distributed servers. We
minimize the use of scarce unlicensed RF spectrum supported by Smart
Antenna technology. RF interference in such networks and techniques and
strategies to reduce it are examined. Traffic is spread across multiple
frequency channels and multiple directional beams to achieve improved
spatial re-use. We focus on the control of Smart Antennas rather than
their design. By dynamically adjusting our network topology using Smart
Antennas and dynamically re-routing current communications we optimize
the network for its current traffic needs.
November 2008
- Wednesday, 26 November 2008, 1-2pm*
Host: Geoff Webb
Title: MultiStrategy Ensemble Learning, Ensembles of Bayesian Classifiers,
and the Problem of False Discoveries
Abstract: This talk covers an ensemble of my research contributions that
I believe are likely to resonate with a current audience. Ensemble Learning
combines the predictions of multiple classifiers to enhance accuracy relative
to any individual classifier. I will show that combining established
ensemble learning techniques further enhances accuracy without computational
overhead. Naive Bayes is a popular approach to classification learning due
to its computational efficiency, strong theoretical foundation and its
capacity to predict probabilities rather than just the most probable outcome.
I will present a simple extension that creates an ensemble of naive-Bayes
like classifiers, improving naive Bayes' accuracy without undue computational
burden. Finally, I will discuss false discoveries, a problem that plagues
many modern pattern discovery systems. Quite simply, many state-of-the-art
approaches to pattern discovery are prone to 'discover' patterns that do not
exist. I will explain why this is so and discuss approaches to overcome the
problem.
- Tuesday, 18 November 2008, 1-2pm*
Hosts: Kerri Morgan and Amiza Amir
Title: Colouring, Cooking, and Factorising
Abstract: Some students have expressed an interest in making their own
rocky road. Amiza and I will demonstrate how simple it is to make this
sweet. Samples will be provided. If time permits I will also give a talk
on "Chromatic Factorisation of Graphs". The chromatic polynomial
gives the number of proper colourings of a graph. We define the concept
of chromatic factorisation. It is known that every clique-separable
graph has a chromatic factorisation. However, we identify a number of
graphs that have chromatic factorisations but are not clique-separable.
We then show that every graph with chromatic number at least three is
a chromatic factor of some chromatic factorisation.
- Wednesday, 12 November 2008, 1-2pm*
Hosts: Enes Makalic and
Daniel Schmidt
Title: Applications of Information Theory to Statistics
Abstract: This brief informal talk covers a basic introduction to the
theory of coding (i.e., Kraft's inequality, entropy, etc.). Methods to be
discussed include: Akaike's Information Criterion (AIC), Bayesian Information
Criterion (BIC), Minimum Message Length (MML) and Minimum Description Length
(MDL). Several applications of information theory to statistical problems
will also be discussed.
- Wednesday, 5 November 2008, 1-2pm*
Host: Nghia Ho (Faculty of Engineering)
Title: Vision-Based Global Localisation (Where Am I?)
Abstract: This talk demonstrates how a robot can perform global localisation
(where am I?) using a panoramic mirror in conjunction with a rich,
previously acquired 3D model of the environment and a particle filter
for localisation. The robot can estimate its position and orientation
given a sequence of images taken from the test environment. This talk
will mainly be a summary of what I have done for the past 3.5 years of
my PhD and will include videos.
October 2008
- Wednesday, 29 October 2008, 1-2pm*
Host: Anang Hudaya Muhamad Amin
Title: A Divide-and-Distribute Approach to Single-Cycle Learning of HGN
Networks
Abstract: The Distributed Hierarchical Graph Neuron (DHGN) is a novel
single-cycle learning, distributed pattern recognition algorithm, which
reduces the computational complexity of existing pattern recognition
algorithms by dividing and distributing the recognition process into
smaller clusters. The proposed approach extends the single-cycle pattern
recognition capability of the hierarchical graph neuron (HGN) for wireless
sensor networks into the more generic framework of computational grids. The
computational complexity of the hierarchical pattern recognition scheme
is significantly reduced and the accuracy is improved. The single-cycle
learning capability, which develops within the HGN, shows better noisy
pattern recognition accuracy when the size of the clusters is adapted to
pattern data. In this presentation, the author will discuss the effect
of dividing and distributing simple pattern recognition processes within
a computational network, and how it affects the accuracy and efficiency of
the proposed pattern recognition scheme.
- Wednesday, 22 October 2008, 1-2pm*
Host: Raja Azlina Raja Mahmood
Title: Detecting Attack Patterns Using an Efficient and Low-Computational
Pattern Recognition Scheme
Abstract: The proposed pattern recognition scheme employs a Distributed
Hierarchical Graph Neuron (DHGN) technique. The DHGN is a new form of neural
network which consists of a hierarchical graph-based representation of
input patterns and adopts a one-cycle learning process. We have proven
the technique to be efficient; real-time and accurate, and offer low
computational complexity, in a few studies. The author will discuss the
proposed technique and its application in detecting attack patterns in
Mobile Ad Hoc Networks (MANETs).
- Wednesday, 15 October 2008, 1-2pm*
Host: Benjamin Porter
This lunch is not a seminar but a chance to kick back and watch some fun 3d
short films. Come and be inspired by the fantastic intersection of computer
science and art!
- Wednesday, 8 October 2008, 1-2pm*
Cross-faculty introduction session with open
discussion
Moderator: Mauro Bampo
Discussion topic: Computational Intelligence from Your Perspectives
Abstract: Artificial intelligence has been an active research field for the
last decades, and involves many fields such as computer science, cognitive
science, operations research, control engineering, philosophy, neurobiology,
evolutionary biology, and linguistics. Yet, there is still no universally
accepted definition of intelligence, with many questions unanswered and being
topics for debates. These questions include: Can machines behave intelligently?
Will they match or exceed human intelligence? What are the limits of a machine's
capabilities? Is an intelligent agent really intelligent? Can it think and have
a mind, or can it only act like it thinks and has a mind? Have we succeeded
yet? After all, what exactly are we trying to do? In this seminar, we will
discuss the notion of computational intelligence in the context of our diverse
research areas.
September 2008
- Tuesday, 30 September 2008, 1-2pm*
Host: Cameron McCormack
Title: Authoring Adaptive Diagrams
Abstract: The web and digital media requires intelligent, adaptive
documents whose appearance and content adapts to the viewing context
and which support user interaction. While previous research has focussed
on textual and multimedia content, this is also true for diagrammatic
content. We have designed and implemented an authoring tool which
supports the construction of adaptive diagrams. Adaptive layout
behaviour is specified by using constraint-based placement tools
as well as by allowing the author to specify more radical layout
changes using alternate layout configurations. As well as specifying
alternate layouts, the author can specify alternate representations
for an object, alternate styles and alternate textual content. The
resulting space of different versions of the diagram is the cross
product of these different alternatives. At display time the version
is constructed dynamically, taking into account the author specified
preference order on the alternatives, current viewing environment, and
user interaction.
- Wednesday, 24 September 2008, 1-2pm*
Host: Michael Tyson
Title: Developing Radio Propagation Environment Awareness (RPEA) for Mobile
Ad Hoc Networks
Abstract: RF Propagation Environment Aware (RPEA) mobile ad hoc networks are
able to store and exploit local radio propagation information to predict future
link quality and lifetime. This provides for optimisation of network management
operation, and facilitates Quality of Service support. A model of the radio
propagation geometry of the local environment is developed and maintained by
observing signal loss measurements over time, while operating in the area of
interest. This seminar will discuss factors related to the establishment of
a radio propagation geometry model from observed signal losses.
- Tuesday, 16 September 2008, 1-2pm*
Host: Dhananjay Thiruvady
Title: Strip Packing with Hybrid ACO – Placement Order is Learnable
Abstract: In this talk I will present a hybrid ant colony optimization
algorithm for the strip packing problem. In this problem a fixed set of
rectangular items of fixed sizes have to be placed on a strip of fixed
width and infinite height without overlaps and with the objective to
minimize the height used. To place items on the strip the bottom-left
fill (BLF) heuristic is used. This study shows that learning item order
with ACO combined with BLF placement is an effective algorithm for strip
packing.
- Wednesday, 10 September 2008, 1-2pm*
Host: Jenny Kashmirian
Title: Programming Biology
Abstract: The paradigm of the emerging field "Synthetic Biology" is programming
the cell. Proponents are working on a tool set called biobricks which will
simplify cell programming. They envisage two professions will emerge from
this field, the designers (programmers) and the implementors. The designers
will work at the abstract level of biobricks and the implementors will create
the organisms containing the biobrick components. The success of this field
will be determined in part on the ability to predict emergent effects at two
levels: (1) cell behaviour – the effect of combinations of biobricks on
the internal cell mechanism and therefore the overall cell behaviour; and (2)
population behaviour – how individual cell behaviour effects overall
population behaviour. The question is posed: What role should computer
scientists play in this emerging field?
- Wednesday, 3 September 2008, 1-2pm*
Hosts: Mauro Bampo and Michael Wybrow
(FIT Casual Robotics Group)
Title: Lego Mindstorms Robots for Open Day 2008
Abstract: The FIT Casual Robotics Group is a group of students and staff
members who mess around with robotics projects in their spare time. In this
talk we describe and demo several Lego Mindstorms robots we prepared for
Monash University Open Day 2008 – a feeding automaton, a catapult and a maze
navigating robot. We describe our experience with the Lego Mindstorms
robotics kits and discuss the issues related to programming these robots.
August 2008
- Wednesday, 27 August 2008, 1-2pm*
Host: Arun Mani
Title: An Inequality for Counting Forests in Graphs
Abstract: Counting the number of forests in a graph is known to be a #P-hard
for most graph classes. In this talk we discuss an inequality that gives an
upper bound for this number using graph decompositions.
- Tuesday, 19 August 2008, 1-2pm*
Host: Cagatay Goncu
Title: Automatic Generation of Accessible Diagram by Semantic Preserving
Adaptation
Abstract: With this research, we are investigating to develop techniques
for presenting diagrams to blind people in alternative and more effective
ways through different modalities such as tactile, audio, and tactile/audio.
- Tuesday, 12 August 2008, 1-2pm*
Constituting event
Host: Daniel Schmidt
Title: Parameter Estimation of Autoregressive Models using the Minimum
Message Length Principle
Abstract: This seminar discussed a new parameter estimation procedure
for autoregressive models derived from the Minimum Message Length (MML)
principle. The resulting MML estimator tends to shrink the model poles
towards the origin, leading to improved multiple step squared prediction
errors when compared to well known procedures such as Maximum Likelihood
or the Burg estimator.
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