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ITS
2010
Springer
157views Multimedia» more  ITS 2010»
16 years 1 days ago
A Computational Model of Accelerated Future Learning through Feature Recognition
Accelerated future learning, in which learning proceeds more effectively and more rapidly because of prior learning, is considered to be one of the most interesting measures of ro...
Nan Li, William W. Cohen, Kenneth R. Koedinger
210
Voted
SENSYS
2005
ACM
16 years 25 days ago
Estimating clock uncertainty for efficient duty-cycling in sensor networks
Radio duty cycling has received significant attention in sensor networking literature, particularly in the form of protocols for medium access control and topology management. Whi...
Saurabh Ganeriwal, Deepak Ganesan, Hohyun Shim, Vl...
ICCV
2007
IEEE
16 years 9 months ago
The Joint Manifold Model for Semi-supervised Multi-valued Regression
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
Ramanan Navaratnam, Andrew W. Fitzgibbon, Roberto ...
CVPR
1998
IEEE
16 years 9 months ago
Incorporating Illumination Constraints in Deformable Models
In this paper we present a method for the integration of nonlinear holonomic constraints in deformable models and its application to the problems of shape and illuminant direction...
Dimitris Samaras, Dimitris N. Metaxas
232
Voted
KDD
2008
ACM
183views Data Mining» more  KDD 2008»
16 years 7 months ago
Structured entity identification and document categorization: two tasks with one joint model
Traditionally, research in identifying structured entities in documents has proceeded independently of document categorization research. In this paper, we observe that these two t...
Indrajit Bhattacharya, Shantanu Godbole, Sachindra...
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