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» A supervised learning approach for imbalanced data sets
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CVPR
2006
IEEE
16 years 8 months ago
Unsupervised Bayesian Detection of Independent Motion in Crowds
While crowds of various subjects may offer applicationspecific cues to detect individuals, we demonstrate that for the general case, motion itself contains more information than p...
Gabriel J. Brostow, Roberto Cipolla
KDD
2004
ACM
162views Data Mining» more  KDD 2004»
16 years 6 months ago
Discovering Links Between Lexical and Surface Features in Questions and Answers
Information retrieval systems, based on keyword match, are evolving to question answering systems that return short passages or direct answers to questions, rather than URLs point...
Soumen Chakrabarti
JMLR
2010
108views more  JMLR 2010»
15 years 1 months ago
Feature Selection using Multiple Streams
Feature selection for supervised learning can be greatly improved by making use of the fact that features often come in classes. For example, in gene expression data, the genes wh...
Paramveer S. Dhillon, Dean P. Foster, Lyle H. Unga...
VG
2001
15 years 7 months ago
A Study of Transfer Function Generation for Time-Varying Volume Data
The proper usage and creation of transfer functions for time-varying data sets is an often ignored problem in volume visualization. Although methods and guidelines exist for time-i...
T. J. Jankun-Kelly, Kwan-Liu Ma
PERCOM
2007
ACM
16 years 6 months ago
Structural Learning of Activities from Sparse Datasets
Abstract. A major challenge in pervasive computing is to learn activity patterns, such as bathing and cleaning from sensor data. Typical sensor deployments generate sparse datasets...
Fahd Albinali, Nigel Davies, Adrian Friday