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» High-Level Feature Extraction Experiments for TRECVID 2007
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ICDAR
2007
IEEE
14 years 2 months ago
A Sparse and Locally Shift Invariant Feature Extractor Applied to Document Images
We describe an unsupervised learning algorithm for extracting sparse and locally shift-invariant features. We also devise a principled procedure for learning hierarchies of invari...
Marc'Aurelio Ranzato, Yann LeCun
AMS
2007
Springer
221views Robotics» more  AMS 2007»
14 years 2 months ago
Visual Bearing-Only Simultaneous Localization and Mapping with Improved Feature Matching
Abstract. In this this paper, we present a solution to the simultaneous localization and mapping (SLAM) problem for a robot equipped with a single perspective camera. We track extr...
Hauke Strasdat, Cyrill Stachniss, Maren Bennewitz,...
3DIM
2007
IEEE
14 years 2 months ago
Deformable Registration of Textured Range Images by Using Texture and Shape Features
This paper describes a method to align textured range images of deforming objects. The proposed procedure aligns deformable 3D models by matching both texture and shape features. ...
Ryusuke Sagawa, Nanaho Osawa, Yasushi Yagi
BVAI
2007
Springer
14 years 2 months ago
Neural Object Recognition by Hierarchical Learning and Extraction of Essential Shapes
We present a hierarchical system for object recognition that models neural mechanisms of visual processing identified in the mammalian ventral stream. The system is composed of ne...
Daniel Oberhoff, Marina Kolesnik
MLMI
2007
Springer
14 years 2 months ago
Using Prosodic Features in Language Models for Meetings
Abstract. Prosody has been actively studied as an important knowledge source for speech recognition and understanding. In this paper, we are concerned with the question of exploiti...
Songfang Huang, Steve Renals