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» Image binarization focusing on objects
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CVPR
2010
IEEE
14 years 6 months ago
The Role of Features, Algorithms and Data in Visual Recognition
There are many computer vision algorithms developed for visual (scene and object) recognition. Some systems focus on involved learning algorithms, some leverage millions of trainin...
Devi Parikh and C. Lawrence Zitnick
GIR
2007
ACM
14 years 1 months ago
Geographically-aware information retrieval for collections of digitized historical maps
DIGMAP is a project focused on historical digitized maps that will develop a set of Internet services based on reusable open-source software solutions. The main service will provi...
Bruno Martins, José Luis Borbinha, Gilberto...
KDD
2012
ACM
205views Data Mining» more  KDD 2012»
12 years 8 days ago
Rank-loss support instance machines for MIML instance annotation
Multi-instance multi-label learning (MIML) is a framework for supervised classification where the objects to be classified are bags of instances associated with multiple labels....
Forrest Briggs, Xiaoli Z. Fern, Raviv Raich
BMVC
2010
13 years 7 months ago
Iterative Hyperplane Merging: A Framework for Manifold Learning
We present a framework for the reduction of dimensionality of a data set via manifold learning. Using the building blocks of local hyperplanes we show how a global manifold can be...
Harry Strange, Reyer Zwiggelaar
SIGGRAPH
2010
ACM
14 years 2 months ago
Multi-class blue noise sampling
Sampling is a core process for a variety of graphics applications. Among existing sampling methods, blue noise sampling remains popular thanks to its spatial uniformity and absenc...
Li-Yi Wei