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» Predicting relative performance of classifiers from samples
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PAMI
2006
205views more  PAMI 2006»
13 years 9 months ago
Learning Outdoor Color Classification
We present an algorithm for color classification with explicit illuminant estimation and compensation. A Gaussian classifier is trained with color samples from just one training im...
Roberto Manduchi
ICDE
2004
IEEE
179views Database» more  ICDE 2004»
14 years 10 months ago
CrossMine: Efficient Classification Across Multiple Database Relations
Most of today's structured data is stored in relational databases. Such a database consists of multiple relations which are linked together conceptually via entity-relationsh...
Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu
MM
2004
ACM
178views Multimedia» more  MM 2004»
14 years 2 months ago
A bootstrapping framework for annotating and retrieving WWW images
Most current image retrieval systems and commercial search engines use mainly text annotations to index and retrieve WWW images. This research explores the use of machine learning...
HuaMin Feng, Rui Shi, Tat-Seng Chua
VLDB
2002
ACM
116views Database» more  VLDB 2002»
13 years 8 months ago
Watermarking Relational Databases
We enunciate the need for watermarking database relations to deter their piracy, identify the unique characteristics of relational data which pose new challenges for watermarking,...
Rakesh Agrawal, Jerry Kiernan
CORR
2011
Springer
183views Education» more  CORR 2011»
13 years 27 days ago
Learning When Training Data are Costly: The Effect of Class Distribution on Tree Induction
For large, real-world inductive learning problems, the number of training examples often must be limited due to the costs associated with procuring, preparing, and storing the tra...
Foster J. Provost, Gary M. Weiss