In this paper we propose a novel nonparametric approach
for object recognition and scene parsing using dense
scene alignment. Given an input image, we retrieve its best
matches ...
Accurate unsupervised learning of phonemes of a language directly from speech is demonstrated via an algorithm for joint unsupervised learning of the topology and parameters of a ...
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
For software maintenance and evolution, a common problem is to understand how each requirement is implemented in the source code. The basic solution of this problem is to find the...
This paper continues the movement from technology centered to human centered approaches in the study of tasks that involve finding, understanding, and using information, and tools...