Sciweavers

474 search results - page 50 / 95
» Derivation of Knowledge Structures for Distributed Learning ...
Sort
View
COMPGEOM
2011
ACM
13 years 8 days ago
Comparing distributions and shapes using the kernel distance
Starting with a similarity function between objects, it is possible to define a distance metric (the kernel distance) on pairs of objects, and more generally on probability distr...
Sarang C. Joshi, Raj Varma Kommaraju, Jeff M. Phil...
HICSS
2003
IEEE
110views Biometrics» more  HICSS 2003»
14 years 2 months ago
Individual and Team Contexts in a Design Process
The paper discusses the role of context in a collaborative design process, with a web-based environment for distributed architecture - engineering - construction teamwork. During ...
Patrick Brézillon
NPL
1998
135views more  NPL 1998»
13 years 8 months ago
Local Adaptive Subspace Regression
Abstract. Incremental learning of sensorimotor transformations in high dimensional spaces is one of the basic prerequisites for the success of autonomous robot devices as well as b...
Sethu Vijayakumar, Stefan Schaal
ICCV
2005
IEEE
14 years 10 months ago
Probabilistic Boosting-Tree: Learning Discriminative Models for Classification, Recognition, and Clustering
In this paper, a new learning framework?probabilistic boosting-tree (PBT), is proposed for learning two-class and multi-class discriminative models. In the learning stage, the pro...
Zhuowen Tu
SIGIR
2003
ACM
14 years 2 months ago
ReCoM: reinforcement clustering of multi-type interrelated data objects
Most existing clustering algorithms cluster highly related data objects such as Web pages and Web users separately. The interrelation among different types of data objects is eith...
Jidong Wang, Hua-Jun Zeng, Zheng Chen, Hongjun Lu,...