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» INSPIRE: A New Method of Mapping Information Spaces
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ICPP
2008
IEEE
16 years 18 days ago
Machine Learning Models to Predict Performance of Computer System Design Alternatives
Computer manufacturers spend a huge amount of time, resources, and money in designing new systems and newer configurations, and their ability to reduce costs, charge competitive p...
Berkin Özisikyilmaz, Gokhan Memik, Alok N. Ch...
ECCV
2006
Springer
16 years 8 months ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
CHI
2008
ACM
16 years 6 months ago
Target acquisition with camera phones when used as magic lenses
When camera phones are used as magic lenses in handheld augmented reality applications involving wall maps or posters, pointing can be divided into two phases: (1) an initial coar...
Michael Rohs, Antti Oulasvirta
CCS
2009
ACM
16 years 29 days ago
Active learning for network intrusion detection
Anomaly detection for network intrusion detection is usually considered an unsupervised task. Prominent techniques, such as one-class support vector machines, learn a hypersphere ...
Nico Görnitz, Marius Kloft, Konrad Rieck, Ulf...
SSD
2005
Springer
105views Database» more  SSD 2005»
15 years 11 months ago
Evaluation of Top-k OLAP Queries Using Aggregate R-Trees
Abstract. A top-k OLAP query groups measures with respect to some abstraction level of interesting dimensions and selects the k groups with the highest aggregate value. An example ...
Nikos Mamoulis, Spiridon Bakiras, Panos Kalnis