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NIPS
2003
13 years 9 months ago
Mutual Boosting for Contextual Inference
Mutual Boosting is a method aimed at incorporating contextual information to augment object detection. When multiple detectors of objects and parts are trained in parallel using A...
Michael Fink 0002, Pietro Perona
WSCG
2000
84views more  WSCG 2000»
13 years 9 months ago
New Theory of Pattern Recognition on the Basis of Stochastic Geometry
The article offers a new approach towards the construction of recognition features independent of images' displacement or linear deformation. The distinguishing characteristi...
Nikolay G. Fedotov, Luydmila A. Shulga
IEE
2008
100views more  IEE 2008»
13 years 7 months ago
Extending grammars and metamodels for reuse: the Reuseware approach
The trend toward domain-specific languages leads to an ever-growing plethora of highly specialized languages. Developers of such languages focus on their specific domains rather t...
Jakob Henriksson, Florian Heidenreich, Jendrik Joh...
SCP
2008
89views more  SCP 2008»
13 years 7 months ago
A challenge for atomicity verification
An unpublished algorithm of Haldar and Vidyasankar implements an atomic variable of an arbitrary type T for one writer and one reader by means of 4 unsafe variables of type T , th...
Wim H. Hesselink
VLDB
2002
ACM
125views Database» more  VLDB 2002»
13 years 7 months ago
Self-tuning Database Technology and Information Services: from Wishful Thinking to Viable Engineering
Automatic tuning has been an elusive goal for database technology for a long time and is becoming a pressing issue for modern E-services. This paper reviews and assesses the advan...
Gerhard Weikum, Axel Mönkeberg, Christof Hass...