1547 search results - page 45 / 310 » Learning a Classification Model for Segmentation |
124
Voted
CCECE
2006
IEEE
15 years 6 months 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...
121
Voted
ICANN
2009
Springer
15 years 8 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...
125
click to vote
ACCV
2009
Springer
15 years 6 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, ...
103
Voted
EMNLP
2010
15 years 5 days 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, ...
127
Voted
TMM
2002
15 years 1 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...