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ECCV
2010
Springer
13 years 9 months ago
MIForests: Multiple-Instance Learning with Randomized Trees
Abstract. Multiple-instance learning (MIL) allows for training classifiers from ambiguously labeled data. In computer vision, this learning paradigm has been recently used in many ...
Christian Leistner, Amir Saffari, Horst Bischof
IJFCS
2006
130views more  IJFCS 2006»
13 years 9 months ago
Mealy multiset automata
We introduce the networks of Mealy multiset automata, and study their computational power. The networks of Mealy multiset automata are computationally complete. 1 Learning from Mo...
Gabriel Ciobanu, Viorel Mihai Gontineac
KAIS
2006
110views more  KAIS 2006»
13 years 8 months ago
Multi-step density-based clustering
Abstract. Data mining in large databases of complex objects from scientific, engineering or multimedia applications is getting more and more important. In many areas, complex dista...
Stefan Brecheisen, Hans-Peter Kriegel, Martin Pfei...
INTEGRATION
2007
100views more  INTEGRATION 2007»
13 years 8 months ago
A fast pipelined multi-mode DES architecture operating in IP representation
The Data Encryption Standard (DES) is a cipher that is still used in a broad range of applications, from smartcards, where it is often implemented as a tamperresistant embedded co...
Sylvain Guilley, Philippe Hoogvorst, Renaud Pacale...
MVA
1998
162views Computer Vision» more  MVA 1998»
13 years 8 months ago
Multipass hierarchical stereo matching for generation of digital terrain models from aerial images
Abstract. This paper presents a new multi-pass hierarchical stereo-matching approach for generation of digital terrain models (DTMs) from two overlapping aerial images. Our method ...
Yi-Ping Hung, Chu-Song Chen, Kuan-Chung Hung, Yong...