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SIGIR
2011
ACM
12 years 11 months ago
Learning to rank from a noisy crowd
We study how to best use crowdsourced relevance judgments learning to rank [1, 7]. We integrate two lines of prior work: unreliable crowd-based binary annotation for binary classi...
Abhimanu Kumar, Matthew Lease
IPPS
2007
IEEE
14 years 2 months ago
A Multi-Level Parallel Implementation of a Program for Finding Frequent Patterns in a Large Sparse Graph
Graphs capture the essential elements of many problems broadly defined as searching or categorizing. With the rapid increase of data volumes from sensors, many application discipl...
Steve Reinhardt, George Karypis
ISVC
2007
Springer
14 years 2 months ago
Utilizing Semantic Interpretation of Junctions for 3D-2D Pose Estimation
In this paper we investigate the quality of 3D-2D pose estimates using hand labeled line and point correspondences. We select point correspondences from junctions in the image, all...
Florian Pilz, Yan Shi, Daniel Grest, Nicolas Pugea...
MM
2006
ACM
152views Multimedia» more  MM 2006»
14 years 2 months ago
Multimodal fusion using learned text concepts for image categorization
Conventional image categorization techniques primarily rely on low-level visual cues. In this paper, we describe a multimodal fusion scheme which improves the image classification...
Qiang Zhu, Mei-Chen Yeh, Kwang-Ting Cheng
MVA
2000
143views Computer Vision» more  MVA 2000»
13 years 9 months ago
Detection and Estimation of Omni-Directional Pointing Gestures Using Multiple Cameras
We propose a multi-camera system that can detect omni-directional pointing gestures and estimate the direction of pointing. In general, when a human points at something, their tar...
Hiroki Watanabe, Hitoshi Hongo, Mamoru Yasumoto, K...