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» Object Recognition Using Segmentation for Feature Detection
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COMSWARE
2006
IEEE
15 years 8 months ago
Comparing lexical analysis tools for buffer overflow detection in network software
Many of the bugs in distributed software modules are security vulnerabilities, the most common and also the most exploited of which are buffer overflows and they typically arise in...
Davide Pozza, Riccardo Sisto, Luca Durante, Adrian...
123
Voted
ICIAP
2001
Springer
15 years 6 months ago
Neural Network Analysis of MINERVA Scene Analysis Benchmark
Scene analysis is an important area of research with the aim of identifying objects and their relationships in natural scenes. MINERVA benchmark has been recently introduced in th...
Markos Markou, Sameer Singh, Mona Sharma
112
Voted
ICCV
1995
IEEE
15 years 6 months ago
Topologically Adaptable Snakes
This paper presents a topologically adaptable snakes model for image segmentation and object representation. The model is embedded in the framework of domain subdivision using sim...
Tim McInerney, Demetri Terzopoulos
ICPR
2000
IEEE
16 years 3 months ago
Integration of Perceptual Grouping and Depth
Different data acquisition methods are tailored at extracting particular characteristics from a scene and by combining their results a more robust scene description can be created...
Juan Andrade-Cetto, Alberto Sanfeliu
107
Voted
COGSCI
2002
99views more  COGSCI 2002»
15 years 2 months ago
Learning words from sights and sounds: a computational model
This paper presents an implemented computational model of word acquisition which learns directly from raw multimodal sensory input. Set in an information theoretic framework, the ...
Deb Roy, Alex Pentland