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ECCV
2010
Springer
13 years 7 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
BMCBI
2006
130views more  BMCBI 2006»
13 years 7 months ago
Laboratory Information Management Software for genotyping workflows: applications in high throughput crop genotyping
Background: With the advances in DNA sequencer-based technologies, it has become possible to automate several steps of the genotyping process leading to increased throughput. To e...
B. Jayashree, Praveen T. Reddy, Y. Leeladevi, Jona...
SIGIR
2008
ACM
13 years 7 months ago
Named entity normalization in user generated content
Named entity recognition is important for semantically oriented retrieval tasks, such as question answering, entity retrieval, biomedical retrieval, trend detection, and event and...
Valentin Jijkoun, Mahboob Alam Khalid, Maarten Mar...
TNN
2008
124views more  TNN 2008»
13 years 7 months ago
Just-in-Time Adaptive Classifiers - Part II: Designing the Classifier
Aging effects, environmental changes, thermal drifts, and soft and hard faults affect physical systems by changing their nature and behavior over time. To cope with a process evolu...
Cesare Alippi, Manuel Roveri
ISCA
2011
IEEE
290views Hardware» more  ISCA 2011»
12 years 11 months ago
Increasing the effectiveness of directory caches by deactivating coherence for private memory blocks
To meet the demand for more powerful high-performance shared-memory servers, multiprocessor systems must incorporate efficient and scalable cache coherence protocols, such as thos...
Blas Cuesta, Alberto Ros, María Engracia G&...