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» A Categorical Approach to Simulations
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KDD
2007
ACM
141views Data Mining» more  KDD 2007»
14 years 10 months ago
Detecting anomalous records in categorical datasets
We consider the problem of detecting anomalies in high arity categorical datasets. In most applications, anomalies are defined as data points that are 'abnormal'. Quite ...
Kaustav Das, Jeff G. Schneider
TREC
2004
13 years 11 months ago
UB at TREC 13: Genomics Track
This paper describes the experiments of the State University of New York at Buffalo in TREC 13. We participated in the Genomics track and submitted official runs to the Adhoc retri...
Miguel E. Ruiz, Munirathnam Srikanth, Rohini K. Sr...
CIVR
2007
Springer
126views Image Analysis» more  CIVR 2007»
14 years 4 months ago
Image annotation: which approach for realistic databases?
This paper describes an efficient approach to image annotation. It ranked first on the recent scene categorization track of the ImagEVAL1 benchmark. We show how homogeneous globa...
Nicolas Hervé, Nozha Boujemaa
JMLR
2008
111views more  JMLR 2008»
13 years 9 months ago
Ranking Categorical Features Using Generalization Properties
Feature ranking is a fundamental machine learning task with various applications, including feature selection and decision tree learning. We describe and analyze a new feature ran...
Sivan Sabato, Shai Shalev-Shwartz
ICCV
2011
IEEE
12 years 9 months ago
Birdlets: Subordinate Categorization Using Volumetric Primitives and Pose-Normalized Appearance
Subordinate-level categorization typically rests on establishing salient distinctions between part-level characteristics of objects, in contrast to basic-level categorization, whe...
Ryan Farrell, Om Oza, Ning Zhang, Vlad I. Morariu,...