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159
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ICPR
2002
IEEE
16 years 5 months ago
Object Detection in Images: Run-Time Complexity and Parameter Selection of Support Vector Machines
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Nicola Ancona, Grazia Cicirelli, Ettore Stella, Ar...
117
Voted
SIGSOFT
2005
ACM
16 years 5 months ago
Lightweight object specification with typestates
Previous work has proven typestates to be useful for modeling protocols in object-oriented languages. We build on this work by addressing substitutability of subtypes as well as i...
Kevin Bierhoff, Jonathan Aldrich
168
Voted
SIGMOD
2004
ACM
154views Database» more  SIGMOD 2004»
16 years 4 months ago
Computing Clusters of Correlation Connected Objects
The detection of correlations between different features in a set of feature vectors is a very important data mining task because correlation indicates a dependency between the fe...
Christian Böhm, Karin Kailing, Peer Krög...
156
Voted
FM
2009
Springer
190views Formal Methods» more  FM 2009»
15 years 11 months ago
Dynamic Classes: Modular Asynchronous Evolution of Distributed Concurrent Objects
Abstract. Many long-lived and distributed systems must remain available yet evolve over time, due to, e.g., bugfixes, feature extensions, or changing user requirements. To facilit...
Einar Broch Johnsen, Marcel Kyas, Ingrid Chieh Yu
ICANN
2009
Springer
15 years 11 months ago
Multimodal Sparse Features for Object Detection
In this paper the sparse coding principle is employed for the representation of multimodal image data, i.e. image intensity and range. We estimate an image basis for frontal face i...
Martin Haker, Thomas Martinetz, Erhardt Barth