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Now showing items 31-40 of 84
Learning Hierarchical Sparse Filters for Feature Matching
A common problem in computer vision is to match corresponding points between images. The success of computer vision has usually relied on having good feature representations, which are usually hand-crafted and thus require ...
View-Oriented Parallel Programming and its Performance Evaluation on Multicore Architectures
Shared-memory multicore architectures have become pervasive, and there is a pressing need for parallel programming models to facilitate both performance and convenience. However, most existing shared-memory programming ...
Techniques for utterance disambiguation in a human-computer dialogue system
Disambiguating an utterance occurring in a dialogue context is a complex task, which requires input from many different sources of information -- some syntactic, some semantic, and some pragmatic.
The central question ...
Decoding Feedback: Improving feedback practices for students in introductory programming courses
High failure rates in introductory programming courses testify that learning to program is challenging for many students. This problem is widely acknowledged in the field of com- puter science education research. In higher ...
Learning Gene Interactions and Networks from Perturbation Screens and Expression Data
We investigate a variety of methods to first discover and then understand genetic interactions. Beginning with pairwise interactions, we propose a method for inferring pairwise gene interactions en masse from short- ...
Dynamical properties of gene regulatory networks involved in long-term potentiation
The significant increase in the availability of postgenomic data has stimulated the growth of hypothesis-generating strategies to unravel the molecular basis of nature. The application of systems theory to biological ...
Interaction of STDP and metaplasticity in modelling heterosynaptic plasticity.
Although neuroscientists have still not found a comprehensive mechanism to underlie learning and memory, many investigations suggest that long term potentiation (LTP) and long term depression (LTD) are involved in establishment ...
Prolific structures in combinatorial classes
Under what circumstances might every extension of a combinatorial structure contain more copies of another one than the original did? This property, which we call prolificity, holds universally in some cases (e.g., finite ...
Physics-Based Simulation of Canine Gait
For most animals, locomotion is essential for survival, and it is advantageous to do this efficiently and with minimal neural control. Research has shown that efficient walking is possible without control, resulting purely ...
Modelling type-denoting concepts and words in a simulation of vocabulary development.
Luc Steels proposes a mechanism by which a community of agents is able to negotiate a common vocabulary for referring to objects in their environment, using two simple games. In a ‘discrimination game’, an agent equipped ...