2934 search results - page 154 / 587 » Hypothesis Spaces for Learning |
159
Voted
EMNLP
2011
14 years 4 months ago
2011
We present a general learning-based approach for phrase-level sentiment analysis that adopts an ordinal sentiment scale and is explicitly compositional in nature. Thus, we can mod...
207
Voted
CVPR
2012
IEEE
13 years 7 months ago
2012
IEEE
Recent work on background subtraction has shown developments on two major fronts. In one, there has been increasing sophistication of probabilistic models, from mixtures of Gaussi...
150
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ICML
2008
IEEE
16 years 5 months ago
2008
IEEE
In dimensionality reduction approaches, the data are typically embedded in a Euclidean latent space. However for some data sets this is inappropriate. For example, in human motion...
135
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CORR
2008
Springer
15 years 4 months ago
2008
Springer
Maximum Variance Unfolding (MVU) and its variants have been very successful in embedding data-manifolds in lower dimensionality spaces, often revealing the true intrinsic dimensio...
163
Voted
ICDAR
2009
IEEE
15 years 2 months ago
2009
IEEE
This paper proposes a novel framework for automatic text categorization problem based on the kernel density classifier. The overall goal is to tackle two main issues in automatic ...