diff --git a/INFO_DP.bib b/INFO_DP.bib index 69d038b..cee1148 100644 --- a/INFO_DP.bib +++ b/INFO_DP.bib @@ -2,23 +2,69 @@ %% http://bibdesk.sourceforge.net/ -%% Created for Nigel Stanger at 2009-10-05 16:56:56 +1300 +%% Created for Nigel Stanger at 2010-02-01 16:13:13 +1300 %% Saved with string encoding Western (Mac OS Roman) -@techreport{dp2009-07, +@techreport{dp2010-02, + Abstract = {Novelty detection is an important functionality that has found many applications in information retrieval and processing. In this paper we propose a novel framework that deals with novelty detection for multiple-scene image sets. Working with wildlife image data, the framework starts with image segmentation, followed by feature extraction and classification of the image blocks extracted from image segments. The labelled image blocks are then scanned through to generate a co-occurrence matrix of object labels, representing the semantic context within the scene. The semantic co-occurrence matrices then undergo binarization and principal component analysis for dimension reduction, forming the basis for constructing one-class models for each scene category. An algorithm for outlier detection that employs multiple one-class models is proposed. An advantage of our approach is that it can be used for scene classification and novelty detection at the same time. Our experiments show that the proposed approach algorithm gives favourable performance for the task of detecting novel wildlife scenes, and binarization of the label co-occurrence matrices helps to significantly increase the robustness in dealing with the variation of scene statistics.}, Address = {Dunedin, New Zealand}, - Author = {Femi Aderohmu and Jeremiah D. Deng}, - Date-Added = {2009-10-05 16:49:19 +1300}, - Date-Modified = {2009-10-05 16:54:32 +1300}, + Author = {Sui-Peng Yong and Jeremiah D. Deng and Martin K. Purvis}, + Date-Added = {2010-02-01 13:15:53 +1300}, + Date-Modified = {2010-02-01 13:15:53 +1300}, Institution = {Department of Information Science, University of Otago}, + Keywords = {context, co-occurrence matrix, semantics, novel image, multi-class}, + Month = jan, + Number = {2010/02}, + Size = {3.2 MB}, + Title = {Modelling semantic context for novelty detection in wildlife scenes}, + Type = {Discussion paper}, + Year = {2010}} + +@techreport{dp2010-01, + Abstract = {In this paper we consider the broader issue of gaining assurance that an agent system will behave appropriately when it is deployed. We ask to what extent this problem is addressed by existing research into formal verification. We identify a range of issues with existing work which leads us to conclude that, broadly speaking, verification approaches on their own are too narrowly focussed. We argue that a shift in direction is needed, and outline some possibilities for such a shift in direction.}, + Address = {Dunedin, New Zealand}, + Author = {Michael Winikoff}, + Date-Added = {2010-02-01 13:03:08 +1300}, + Date-Modified = {2010-02-01 13:03:08 +1300}, + Institution = {Department of Information Science, University of Otago}, + Month = jan, + Number = {2010/01}, + Size = {296 KB}, + Title = {Assurance of agent systems: What role should formal verification play?}, + Type = {Discussion paper}, + Year = {2010}} + +@techreport{dp2009-01, + Abstract = {In this paper we discuss a tag-based model that facilitates knowledge sharing in the context of agents playing the knowledge sharing game. Sharing the knowledge incurs a cost for the sharing agent, and thus non-sharing is the preferred option for selfish agents. Through agent-based simulations we show that knowledge sharing is possible even in the presence of non-sharing agents in the population. We also show that the performance of an agent society can be better when some agents bear the cost of sharing instead of the whole group sharing the cost.}, + Address = {Dunedin, New Zealand}, + Author = {Sharmila Savarimuthu and Maryam Purvis and Martin Purvis}, + Date-Added = {2010-01-11 14:04:00 +1300}, + Date-Modified = {2010-01-11 14:04:00 +1300}, + Institution = {Department of Information Science, University of Otago}, + Keywords = {cooperation, altruism, tags, knowledge sharing, multi-agent based simulation, artificial society}, + Month = feb, + Number = {2009/01}, + Size = {424 KB}, + Title = {Tag based model for knowledge sharing in agent society}, + Type = {Discussion paper}, + Year = {2009}} + +@techreport{dp2009-07, + Abstract = {While wireless sensor networks (WSN) are increasingly equipped to handle more complex functions, in-network processing still require the battery powered sensors to judiciously use their constrained energy so as to prolong the effective network life time.There are a few protocols using sensor clusters to coordinate the energy consumption in a WSN. To cope with energy heterogeneity among sensor nodes, a modified clustering algorithm is proposed with a three-tier sensor node setting. Simulation has been conducted to evaluate the new clustering algorithm and favorable results are obtained especially in heterogeneous energy settings.}, + Address = {Dunedin, New Zealand}, + Author = {Femi A. Aderohunmu and Jeremiah D. Deng and Martin K. Purvis}, + Date-Added = {2009-10-05 16:49:19 +1300}, + Date-Modified = {2010-02-01 13:51:51 +1300}, + Institution = {Department of Information Science, University of Otago}, + Keywords = {wireless sensor network, heterogeneous settings, clustering}, Month = oct, Number = {2009/07}, - Size = {KB}, - Title = {Pending}, + Size = {881 KB}, + Title = {Enhancing clustering in wireless sensor networks with energy heterogeneity}, Type = {Discussion paper}, Year = {2009}} @@ -171,20 +217,20 @@ Type = {Discussion paper}, Year = {2009}} -@techreport{dp2009-01, - Abstract = {In this paper we discuss a tag-based model that facilitates knowledge sharing in the context of agents playing the knowledge sharing game. Sharing the knowledge incurs a cost for the sharing agent, and thus non-sharing is the preferred option for selfish agents. Through agent-based simulations we show that knowledge sharing is possible even in the presence of non-sharing agents in the population. We also show that the performance of an agent society can be better when some agents bear the cost of sharing instead of the whole group sharing the cost.}, +@techreport{dp2010-03, + Abstract = {In normative multi-agent systems, the question of ``how an agent identifies a norm in an agent society'' has not received much attention. This paper aims at addressing this question. To this end, this paper proposes an architecture for norm identification for an agent. The architecture is based on observation of interactions between agents. This architecture enables an autonomous agent to identify the norms in a society using the Candidate Norm Inference (CNI) algorithm. The CNI algorithm uses association rule mining approach to identify sequences of events as candidate norms. When a norm changes, the agent using our architecture will be able to modify the norm and also remove a norm if it does not hold in its society. Using simulations we demonstrate how an agent makes use of the norm identification framework.}, Address = {Dunedin, New Zealand}, - Author = {Sharmila Savarimuthu and Maryam Purvis and Martin Purvis}, + Author = {Bastin Tony Roy Savarimuthu and Stephen Cranefield and Maryam A. Purvis and Martin K. Purvis}, Date-Added = {2009-06-07 21:48:12 +1200}, - Date-Modified = {2009-06-09 16:58:40 +1200}, + Date-Modified = {2010-02-01 14:06:09 +1300}, Institution = {Department of Information Science, University of Otago}, - Keywords = {cooperation, altruism, tags, knowledge sharing, multi-agent based simulation, artificial society}, + Keywords = {norms, agents, architecture, identification, simulation, societies}, Month = feb, - Number = {2009/01}, - Size = {424 KB}, - Title = {Tag based model for knowledge sharing in agent society}, + Number = {2010/03}, + Size = {562 KB}, + Title = {Norm identification in multi-agent societies}, Type = {Discussion paper}, - Year = {2009}} + Year = {2010}} @techreport{dp2009-02, Abstract = {Online virtual worlds such as Second Life provide a rich medium for unstructured human interaction in a shared simulated 3D environment. However, many human interactions take place in a structured social context where participants play particular roles and are subject to expectations governing their behaviour, and current virtual worlds do not provide any support for this type of interaction. There is therefore an opportunity to adapt the tools developed in the MAS community for structured social interactions between software agents (inspired by human society) and adapt these for use with the computer-mediated human communication provided by virtual worlds.