Sciweavers

8970 search results - page 169 / 1794
» Learning to Learn Causal Models
Sort
View
CVPR
2010
IEEE
15 years 10 months ago
Multi-Target Tracking by On-Line Learned Discriminative Appearance Models
We present an approach for online learning of discriminative appearance models for robust multi-target tracking in a crowded scene from a single camera. Although much progress has...
Cheng-Hao Kuo, Chang Huang, Ram Nevatia
142
Voted
ITICSE
2004
ACM
15 years 10 months ago
Self-efficacy and mental models in learning to program
Learning to program is a unique experience for each student, and it is not fully understood why one person in an introductory programming course learns to program better and more ...
Vennila Ramalingam, Deborah LaBelle, Susan Wiedenb...
163
Voted
ICML
2010
IEEE
15 years 5 months ago
High-Performance Semi-Supervised Learning using Discriminatively Constrained Generative Models
We develop a semi-supervised learning method that constrains the posterior distribution of latent variables under a generative model to satisfy a rich set of feature expectation c...
Gregory Druck, Andrew McCallum
JMLR
2002
138views more  JMLR 2002»
15 years 4 months ago
Learning Probabilistic Models of Link Structure
Most real-world data is heterogeneous and richly interconnected. Examples include the Web, hypertext, bibliometric data and social networks. In contrast, most statistical learning...
Lise Getoor, Nir Friedman, Daphne Koller, Benjamin...
CVPR
2010
IEEE
16 years 29 days ago
Beyond Active Noun Tagging: Modeling Contextual Interactions for Multi-Class Active Learning
We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
Behjat Siddiquie, Abhinav Gupta