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ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
15 years 8 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
134
Voted
MMMACNS
2001
Springer
15 years 8 months ago
Dynamic Group Key Management Protocol
If multicast communication appears as the most efficient way to send data to a group of participants, it presents also more vulnerabilities to attacks and requires services such as...
Ghassan Chaddoud, Isabelle Chrisment, André...
114
Voted
ROBOCUP
1999
Springer
93views Robotics» more  ROBOCUP 1999»
15 years 8 months ago
Tracking and Identifying in Real Time the Robots of a F-180 Team
- This paper describes the method employed to track and identify each robot during a Robocup match. Also, the playing ball is tracked with almost no extra processing effort. To tra...
Paulo Costa, Paulo Marques, António Moreira...
127
Voted
EUROCRYPT
2006
Springer
15 years 7 months ago
Perfect Non-interactive Zero Knowledge for NP
Non-interactive zero-knowledge (NIZK) proof systems are fundamental cryptographic primitives used in many constructions, including CCA2-secure cryptosystems, digital signatures, an...
Jens Groth, Rafail Ostrovsky, Amit Sahai
CAIP
1995
Springer
189views Image Analysis» more  CAIP 1995»
15 years 7 months ago
Spatial and Feature Space Clustering: Applications in Image Analysis
We propose a novel approach to image segmentation, called feature and spatial domain clustering. The method is devised to group pixel data by taking into account simultaneously bo...
Jiri Matas, Josef Kittler