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» Image Categorization Using Local Probabilistic Descriptors
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TMI
2011
144views more  TMI 2011»
14 years 11 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
16 years 6 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
13 years 7 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
15 years 10 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
15 years 10 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