923 search results - page 47 / 185 » Spam Deobfuscation using a Hidden Markov Model |
153
click to vote
EMNLP
2008
15 years 6 months ago
2008
There is growing interest in applying Bayesian techniques to NLP problems. There are a number of different estimators for Bayesian models, and it is useful to know what kinds of t...
140
Voted
CVPR
2007
IEEE
16 years 6 months ago
2007
IEEE
We present a generative model approach to explore intrinsic semantic structures in sport videos, e.g., the camera view in American football games. We will invoke the concept of se...
156
click to vote
ICMCS
2000
IEEE
15 years 9 months ago
2000
IEEE
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...
139
click to vote
CORR
2008
Springer
15 years 4 months ago
2008
Springer
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
172
click to vote
JIIS
2002
15 years 4 months ago
2002
In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...