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» Object Recognition using Junctions
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CVPR
2005
IEEE
16 years 5 months ago
Part-Based Statistical Models for Object Classification and Detection
We propose using simple mixture models to define a set of mid-level binary local features based on binary oriented edge input. The features capture natural local structures in the...
Elliot Joel Bernstein, Yali Amit
HAPTICS
2010
IEEE
15 years 18 days ago
What Is It Like to Be a Rat? Sensory Augmentation Study
The present study examined the human ability to learn a new sensory modality, specifically "whisking". An experimental apparatus containing artificial whiskers, force sen...
Avraham Saig, Amos Arieli, Ehud Ahissar
ICCV
2009
IEEE
16 years 8 months ago
Is a detector only good for detection?
A common design of an object recognition system has two steps, a detection step followed by a foreground withinclass classification step. For example, consider face detection by...
Quan Yuan and Stan Sclaroff
ECCV
2002
Springer
16 years 5 months ago
Learning the Topology of Object Views
A visual representation of an object must meet at least three basic requirements. First, it must allow identification of the object in the presence of slight but unpredictable chan...
Christoph von der Malsburg, Jan Wieghardt, Rolf P....
AAAI
2008
15 years 5 months ago
Unsupervised Categorization (Filtering) of Google Images Based on Visual Consistency
The objective of this paper is to study the existing methods for unsupervised object recognition and image categorization and propose a model that can learn directly from the outp...
Pooyan Fazli, Ara Bedrosian