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» On High Dimensional Skylines
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ICCV
2003
IEEE
16 years 8 months ago
Recognizing Human Action Efforts: An Adaptive Three-Mode PCA Framework
We present a computational framework capable of labeling the effort of an action corresponding to the perceived level of exertion by the performer (low ? high). The approach initi...
James W. Davis, Hui Gao
KDD
2002
ACM
1075views Data Mining» more  KDD 2002»
16 years 6 months ago
CLOPE: a fast and effective clustering algorithm for transactional data
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
Yiling Yang, Xudong Guan, Jinyuan You
162
Voted
ICML
2009
IEEE
16 years 28 days ago
Feature hashing for large scale multitask learning
Empirical evidence suggests that hashing is an effective strategy for dimensionality reduction and practical nonparametric estimation. In this paper we provide exponential tail bo...
Kilian Q. Weinberger, Anirban Dasgupta, John Langf...
AMI
2009
Springer
16 years 22 days ago
Constructing Topological Maps of Displays with 3-D Positioning Information
Abstract. To better coordinate information displays with moving people and the environment, software must know the locations and three dimensional alignments of the display hardwar...
Donald J. Patterson
MLDM
2009
Springer
16 years 20 days ago
A Two-fold PCA-Approach for Inter-Individual Recognition of Emotions in Natural Walking
This paper describes recognition of emotions of an unkown person during natural walking. As gait data is redundant, high dimensional and variable, effective feature extraction is ...
Michelle Karg, Robert Jenke, Kolja Kühnlenz, ...