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» Image Categorization Using Local Probabilistic Descriptors
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TMI
2011
144views more  TMI 2011»
13 years 2 months ago
Automated Mitosis Detection of Stem Cell Populations in Phase-Contrast Microscopy Images
—Due to the enormous potential and impact that stem cells may have on regenerative medicine, there has been a rapidly growing interest for tools to analyze and characterize the b...
Seungil Huh, Dai Fei E. Ker, Ryoma Bise, Mei Chen,...
ECCV
2004
Springer
14 years 9 months ago
Weak Hypotheses and Boosting for Generic Object Detection and Recognition
In this paper we describe the first stage of a new learning system for object detection and recognition. For our system we propose Boosting [5] as the underlying learning technique...
Andreas Opelt, Michael Fussenegger, Axel Pinz, Pet...
SIGIR
2012
ACM
11 years 10 months ago
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for simi...
Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin
SCALESPACE
2007
Springer
14 years 1 months ago
Non-negative Sparse Modeling of Textures
This paper presents a statistical model for textures that uses a non-negative decomposition on a set of local atoms learned from an exemplar. This model is described by the varianc...
Gabriel Peyré
ICALP
2005
Springer
14 years 1 months ago
Weighted Automata and Weighted Logics
Abstract. Weighted automata are used to describe quantitative properties in various areas such as probabilistic systems, image compression, speech-to-text processing. The behaviour...
Manfred Droste, Paul Gastin