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» On the Distance of Databases
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ICPR
2004
IEEE
16 years 5 months ago
Shape Retrieval using Concavity Trees
y trees are well-known abstract structures. This paper proposes a new shape-based image retrieval method based on concavity trees. The proposed method has two main components. The...
Mohamed Kamel, Ossama El Badawy
OSDI
2008
ACM
16 years 4 months ago
Finding Similar Failures Using Callstack Similarity
We develop a machine-learned similarity metric for Windows failure reports using telemetry data gathered from clients describing the failures. The key feature is a tuned callstack...
Kevin Bartz, Jack W. Stokes, John C. Platt, Ryan K...
ACCV
2009
Springer
15 years 11 months ago
Lorentzian Discriminant Projection and Its Applications
This paper develops a supervised dimensionality reduction method, Lorentzian Discriminant Projection (LDP), for discriminant analysis and classification. Our method represents the...
Risheng Liu, Zhixun Su, Zhouchen Lin, Xiaoyu Hou
ICANN
2009
Springer
15 years 11 months ago
Simbed: Similarity-Based Embedding
Simbed, standing for similarity-based embedding, is a new method of embedding high-dimensional data. It relies on the preservation of pairwise similarities rather than distances. I...
John Aldo Lee, Michel Verleysen
ICMCS
2007
IEEE
131views Multimedia» more  ICMCS 2007»
15 years 10 months ago
3D Model Retrieval Based on Depth Line Descriptor
In this paper, we propose a novel 2D/3D approach for 3D model matching and retrieving. Each model is represented by a set of depth lines which will be afterward transformed into s...
Mohamed Chaouch, Anne Verroust-Blondet