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AAAI
2008
13 years 10 months ago
Multimodal People Detection and Tracking in Crowded Scenes
This paper presents a novel people detection and tracking method based on a multi-modal sensor fusion approach that utilizes 2D laser range and camera data. The data points in the...
Luciano Spinello, Rudolph Triebel, Roland Siegwart
CVPR
2011
IEEE
12 years 11 months ago
Learning People Detection Models from Few Training Samples
People detection is an important task for a wide range of applications in computer vision. State-of-the-art methods learn appearance based models requiring tedious collection and ...
Leonid Pishchulin, Christian Wojek, Arjun Jain, Th...
KDD
2005
ACM
169views Data Mining» more  KDD 2005»
14 years 8 months ago
Analysis and Detection of Segment-Focused Attacks Against Collaborative Recommendation
Significant vulnerabilities have recently been identified in collaborative filtering recommender systems. These vulnerabilities mostly emanate from the open nature of such systems ...
Bamshad Mobasher, Robin D. Burke, Chad Williams, R...
IVC
2000
146views more  IVC 2000»
13 years 7 months ago
Fast head modeling for animation
This paper describes an efficient method to make individual faces for animation from several possible inputs. We present a method to reconstruct 3D facial model for animation from...
Won-Sook Lee, Nadia Magnenat-Thalmann
ICDM
2003
IEEE
220views Data Mining» more  ICDM 2003»
14 years 1 months ago
Exploiting Unlabeled Data for Improving Accuracy of Predictive Data Mining
Predictive data mining typically relies on labeled data without exploiting a much larger amount of available unlabeled data. The goal of this paper is to show that using unlabeled...
Kang Peng, Slobodan Vucetic, Bo Han, Hongbo Xie, Z...