1547 search results - page 45 / 310 » Learning a Classification Model for Segmentation |
CCECE
2006
IEEE
14 years 29 days ago
2006
IEEE
The past decade has seen extensive research on audio classification and segmentation algorithms. However, the effect of background noise on the performance of classification has n...
ICANN
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. We demonstrate that selective attention can improve learning. Considerably fewer samples are needed to learn a source separation problem when the inputs are pre-segmented...
ACCV
2009
Springer
14 years 1 months ago
2009
Springer
We study the problem of classifying images into a given, pre-determined taxonomy. The task can be elegantly translated into the structured learning framework. Structured learning, ...
EMNLP
2010
13 years 7 months ago
2010
This paper examines tagging models for spontaneous English speech transcripts. We analyze the performance of state-of-the-art tagging models, either generative or discriminative, ...
TMM
2002
13 years 8 months ago
2002
Modeling spatial context (e.g., autocorrelation) is a key challenge in classification problems that arise in geospatial domains. Markov random fields (MRF) is a popular model for i...