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CVPR
2010
IEEE
16 years 8 days ago
Latent Hierarchical Structural Learning for Object Detection
We present a latent hierarchical structural learning method for object detection. An object is represented by a mixture of hierarchical tree models where the nodes represent objec...
Leo Zhu, Yuanhao Chen, Antonio Torralba, Alan Yuil...
DEBU
2010
88views more  DEBU 2010»
15 years 6 months ago
SECONDO: A Platform for Moving Objects Database Research and for Publishing and Integrating Research Implementations
Databases supporting time dependent and continuously changing geometries, called moving objects databases, have been studied for about 15 years. The field has been flourishing and...
Ralf Hartmut Güting, Thomas Behr, Christian D...
COMCOM
2007
129views more  COMCOM 2007»
15 years 6 months ago
Mobile object tracking in wireless sensor networks
— Wireless sensor network is an emerging technology that enables remote monitoring objects and environment. This paper proposes a protocol to track a mobile object in a sensor ne...
Hua-Wen Tsai, Chih-Ping Chu, Tzung-Shi Chen
CGF
1998
110views more  CGF 1998»
15 years 6 months ago
Adaptive Supersampling in Object Space Using Pyramidal Rays
We introduce a new approach to three important problems in ray tracing: antialiasing, distributed light sources, and fuzzy reflections of lights and other surfaces. For antialias...
Jon D. Genetti, Dan Gordon, G. Williams
ICCV
2011
IEEE
14 years 6 months ago
Informative Feature Selection for Object Recognition via Sparse PCA
Bag-of-words (BoW) methods are a popular class of object recognition methods that use image features (e.g., SIFT) to form visual dictionaries and subsequent histogram vectors to r...
Nikhil Naikal, Allen Y. Yang, S. Shankar Sastry