In this paper we consider a general framework for clustering expression data that permits integration of various biological data sources through combination of corresponding dissi...
This paper presents a study conducted for evaluating different
interpolation schemes, similarity metrics and optimization
algorithms for the purpose of volumetric medical
image ...
Choosing appropriate values for kernel parameters is one of the key problems in many kernel-based methods because the values of these parameters have significant impact on the per...
This paper explores methods to alleviate the effect of lexical sparseness in the classification of verbal arguments. We show how automatically generated selectional preferences ar...
Local features are gaining popularity due to their robustness to occlusion and other variations such as minor deformation. However, using local features for recognition of biometri...