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ICML
2007
IEEE
16 years 4 months ago
Boosting for transfer learning
Traditional machine learning makes a basic assumption: the training and test data should be under the same distribution. However, in many cases, this identicaldistribution assumpt...
Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu
147
Voted
HICSS
2005
IEEE
138views Biometrics» more  HICSS 2005»
15 years 9 months ago
Exploring the Variation in Student Project Team Knowledge Integration Competency
Organizations are increasingly using cross-functional project teams to increase flexibility. The belief is that individuals will be able to share and combine their different knowl...
Sue Newell, Susan Adams, Marcy Crary, Priscilla Gl...
133
Voted
ICPR
2006
IEEE
16 years 4 months ago
Image Categorization Using Local Probabilistic Descriptors
Image categorization involves the well known difficulties with different visual appearances of a single object, but introduces also the problem of within-category variation. This ...
Dorian Suc, Jasna Maver, Katarina Mele
ACE
2004
193views Education» more  ACE 2004»
15 years 4 months ago
Conversational KM - Student Driven Learning
A conversational method of teaching whereby the students engage each other as a key part of the learning experience achieves a higher percentage of high grades (and presumably bet...
Marilyn A. Wells, Phillip W. Brook
IJCV
2008
192views more  IJCV 2008»
15 years 3 months ago
Learning to Locate Informative Features for Visual Identification
Object identification (OID) is specialized recognition where the category is known (e.g. cars) and the algorithm recognizes an object's exact identity (e.g. Bob's BMW). ...
Andras Ferencz, Erik G. Learned-Miller, Jitendra M...