Sciweavers

11428 search results - page 17 / 2286
» Learning From Crowds
Sort
View
108
Voted
ACL
2009
14 years 11 months ago
A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge
Sentiment classification refers to the task of automatically identifying whether a given piece of text expresses positive or negative opinion towards a subject at hand. The prolif...
Tao Li, Yi Zhang 0005, Vikas Sindhwani
CANDT
2009
15 years 3 months ago
Overhearing the crowd: an empirical examination of conversation reuse in a technical support community
This paper describes a mixed method, empirical analysis of conversation reuse in an online technical support community. I find that the same characteristics that make the conversa...
Derek L. Hansen
CVPR
2005
IEEE
16 years 3 months ago
Pedestrian Detection in Crowded Scenes
In this paper, we address the problem of detecting pedestrians in crowded real-world scenes with severe overlaps. Our basic premise is that this problem is too difficult for any t...
Bastian Leibe, Edgar Seemann, Bernt Schiele
ICNP
2002
IEEE
15 years 6 months ago
A Lightweight, Robust P2P System to Handle Flash Crowds
Abstract— Internet flash crowds (a.k.a. hot spots) are a phenomenon that result from a sudden, unpredicted increase in an on-line object’s popularity. Currently, there is no e...
Angelos Stavrou, Dan Rubenstein, Sambit Sahu
SAMT
2007
Springer
251views Multimedia» more  SAMT 2007»
15 years 8 months ago
Event Detection in Pedestrian Detection and Tracking Applications
Abstract. In this paper, we present a system framework for event detection in pedestrian and tracking applications. The system is built upon a robust computer vision approach to de...
Philip Kelly, Noel E. O'Connor, Alan F. Smeaton