195 views216 votes15 years 11 months ago GECCO 2010»
The multi-objective covariance matrix adaptation evolution strategy (MO-CMA-ES) is an evolutionary algorithm for continuous vector-valued optimization. It combines indicator-based...
This paper introduces a novel iterative approach to estimating local phase coherence in situations characterized by low signal-to-noise ratios. Local phase coherence is used for a...
Markov Clustering (MCL) is a popular algorithm for clustering networks in bioinformatics such as protein-protein interaction networks and protein similarity networks. An important...
128 views194 votes16 years 1 months ago IROS 2006»
— This paper presents an approach to vision-based simultaneous localization and mapping (SLAM). Our approach uses the scale invariant feature transform (SIFT) as features and app...
Abstract. Vector quantization (VQ) is an elementary technique for image compression. However, the complexity of searching the nearest codeword in a codebook is time-consuming. In t...
103 views179 votes15 years 11 months ago PLDI 1995»
d Abstract) Alexander Aiken Manuel F¨ahndrich Raph Levieny Computer Science Division University of California, Berkeleyz Static memory managementreplaces runtime garbage collecti...
114 views198 votes15 years 7 months ago BMCBI 2008»
Background: Predicting a protein's structural or functional class from its amino acid sequence or structure is a fundamental problem in computational biology. Recently, there...
Abstract. This paper introduces a new pedagogical tool using haptic feedback and visual analogy, to improve perception and learning of nanoscale phenomena, for people without prior...
138 views248 votes16 years 1 months ago ECRTS 2005»
Multiprocessor hardware platforms are now being considered for embedded systems, due to their high computational power and little additional cost when compared to single processor...
122 views199 votes15 years 5 months ago ICRA 2009»
Abstract-- A main difficulty that arises in the context of probabilistic localization is the design of an appropriate observation model, i.e., determining the likelihood of a senso...