1061 search results - page 124 / 213 » Massive Data Pre-Processing with a Cluster Based Approach |
179
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DAGSTUHL
2009
15 years 5 months ago
2009
Abstract. In this paper we elaborate on the challenges of learning manifolds that have many relevant clusters, and where the clusters can have widely varying statistics. We call su...
168
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ICCV
2005
IEEE
16 years 6 months ago
2005
IEEE
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
135
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AVSS
2009
IEEE
15 years 11 months ago
2009
IEEE
—Millions of surveillance cameras record video around the clock, producing huge video archives. Even when a video archive is known to include critical activities, finding them i...
134
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CVPR
2005
IEEE
16 years 6 months ago
2005
IEEE
Nearest neighborhood consistency is an important concept in statistical pattern recognition, which underlies the well-known k-nearest neighbor method. In this paper, we combine th...
119
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SSPR
2004
Springer
15 years 9 months ago
2004
Springer
Most machine learning algorithms are designed either for supervised or for unsupervised learning, notably classification and clustering. Practical problems in bioinformatics and i...