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| Multimodal systems are a clear trend for future HCI systems. Initially, these systems will support, but eventually will replace, the GUIs of many of today’s computer and mobile applications. These systems will greatly enhance the accessibility of ... We introduce a novel stochastic local search algorithm for the vertex cover problem. Compared to current exhaustive search techniques, our algorithm achieves excellent performance on a suite of problems drawn from the field of biology. We also ... Some overall method characteristics, such as agility and scalability, have become increasingly important. These characteristics are different from existing method requirements which focus on the functional purposes of individual method chunks and overall ... Investment on architecture and quality improvement for a software product line can increase reuse, enhance product reliability, and shorten time-to-market. Such investments should be carefully chosen to be effective, to avoid over-investment, and to ... Nonlinear system design is a common practice in communication engineering for improved performances in advanced receivers. Here we look into a logarithmic based nonlinear loop for a second order arctan based digital phase locked loop (DPLL) for ... Privacy-preserving data mining techniques could encourage health data custodians to provide accurate information for mining by ensuring that the data mining procedures and results cannot, with any reasonable degree of certainty, violate data privacy. ... This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a Region Of Interest (ROI) of a road in a traffic video. Firstly, low-level ... Hypothesis testing is an important way to detect the statistical difference between two populations. In this paper, we use the Fisher permutation and bootstrap tests to differentiate hippocampal shape between genders. These methods are preferred to ... Previous research indicates that the Parallel Phoneme Recognition followed by Language Modelling (PPRLM) system provides state of the art language identification performance on conversational telephone speech. In this paper, in order to improve the ... Natural language interface enables an efficient and effective interaction by allowing a user to submit a single phrase in natural language to the system. If deictic hand gestures are used to specify referents in speech expression, users will gain more ... In this paper, we present a self sufficient and distributed localization algorithm for wireless sensor networks that does not require any external infrastructure support to determine sensor node coordinates. Our algorithm uses measured inter-node ... Context identification is an important feature of goal modelling techniques. It helps to understand wider organisational systems during requirements engineering. The goal of this paper is to identify domain context for the process driven requirements ... Background When analysing microarray and other small sample size biological datasets, care is needed to avoid various biases. We analyse a form of bias, stratification bias, that can substantially affect analyses using sample-reuse validation techniques ... The Bayesian framework is a well-studied and successful framework for inductive reasoning, which includes hypothesis testing and confirmation, parameter estimation, sequence prediction, classification, and regression. But standard statistical guidelines ... Solomonoff's central result on induction is that the posterior of a universal semimeasure M converges rapidly and with probability 1 to the true sequence generating posterior mu, if the latter is computable. Hence, M is eligible as a universal sequence ... During disasters and emergencies, situational reports are generated to provide critical information on the current state, desired responses, and future needs of the incident. These reports are usually summarised and communicated to higher-levels for ... We describe an approach to deriving consistent heuristics for automated planning, based on explicit search in abstract state spaces. The key to managing complexity is interleaving composition of abstractions over different sets of state variables with ... Systematic review is a method to identify, assess and analyse published primary studies to investigate research questions. We critique recently published guidelines for performing systematic reviews on software engineering, and comment on systematic ... Much of existing research work in peer-to-peer networks is focused on architecture and protocols. All make assumptions that nodes in the network will operate for the common good without any selfinterests. However, most nodes in peer-to-peer networks act ... This paper proposes an ontological account of a recent model of software engineering: emergent design. This model augments traditional software design approaches by accounting for incremental and unexpected modifications of the design state space. We show... In this paper, we consider high-resolution multi-sprite generation and its application to background sprite coding. Firstly, we propose an approach to partitioning a video sequence into multiple background sprites and selecting an optimal reference frame ... This presentation reports the progress results of a research project with Australian industry collaborators to provide a more encompassing yet flexible way of improving the performance of software developing organizations than is possible using current ... In this paper we describe a novel use of multi-layer Kohonen’s self-organizing feature map (MLKSFM) for spoken language identification (LID). A normalized, segment based input feature vector is used in order to maintain the temporal information of speech ... This paper presents a conditional random field (CRF) approach to integrate spatial and temporal constraints for moving object detection and cast shadow removal in image sequences. Interactions among both detection (foreground/background/shadow) labels and... Wireless mesh networks have recently gained a lot of popularity due to their rapid deployment and instant communication capabilities. These networks comprise of somewhat static multi-radio Mesh Routers, which essentially provide connectivity between the ... We develop a multiple-view tool called AlViz, which aims at supporting the ontology alignment process visually. Combing views on several levels of abstraction, the tool tries to make the ’relatedness’ between entities accessible. Based on a literature ... The "rich-club phenomenon" in complex networks is characterized when nodes of higher degree are more interconnected than nodes with lower degree. The presence of this phenomenon may indicate several interesting high-level network properties, such as ... In this paper we propose a model-free appearance-based method to automatically determine places as landmarks for topological navigation. Most of the current approaches for automatically selecting landmarks are based on template models or complex feature ... |