Sciweavers

963 search results - page 162 / 193
» Active Learning by Labeling Features
Sort
View
CVIU
2006
222views more  CVIU 2006»
13 years 9 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
DESRIST
2009
Springer
79views Education» more  DESRIST 2009»
14 years 2 months ago
Power of peripheral designers: how users learn to design
In information system development, end-users often participate in design and in many cases learn to design their own system. Design, however, requires a distinct approach that use...
Yutaka Yamauchi
ACE
2004
193views Education» more  ACE 2004»
13 years 11 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
KDD
2008
ACM
147views Data Mining» more  KDD 2008»
14 years 10 months ago
Structured learning for non-smooth ranking losses
Learning to rank from relevance judgment is an active research area. Itemwise score regression, pairwise preference satisfaction, and listwise structured learning are the major te...
Soumen Chakrabarti, Rajiv Khanna, Uma Sawant, Chir...
FLAIRS
2007
13 years 12 months ago
Explaining Task Processing in Cognitive Assistants that Learn
As personal assistant software matures and assumes more autonomous control of its users’ activities, it becomes more critical that this software can explain its task processing....
Deborah L. McGuinness, Alyssa Glass, Michael Wolve...