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» Learning the Relative Importance of Features in Image Data
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SCIA
2005
Springer
186views Image Analysis» more  SCIA 2005»
15 years 10 months ago
Building Detection from Mobile Imagery Using Informative SIFT Descriptors
We propose reliable outdoor object detection on mobile phone imagery from off-the-shelf devices. With the goal to provide both robust object detection and reduction of computation...
Gerald Fritz, Christin Seifert, Manish Kumar, Luca...
INCDM
2010
Springer
213views Data Mining» more  INCDM 2010»
15 years 8 months ago
Automated Vision-Based Diagnosis of Cassava Mosaic Disease
Abstract. Cassava Mosaic Disease (CMD) has been an increasing concern to all countries in sub-Saharan Africa that depend on cassava for both commercial and local consumption. Infor...
Jennifer R. Aduwo, Ernest Mwebaze, John A. Quinn
CIKM
2008
Springer
15 years 6 months ago
Learning a two-stage SVM/CRF sequence classifier
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
Guilherme Hoefel, Charles Elkan
ACSC
2009
IEEE
15 years 11 months ago
Privacy-aware Access Control with Generalization Boundaries
Privacy is today an important concern for both data providers and data users. Data generalization can provide significant protection of an individual’s privacy, which means the...
Min Li, Hua Wang, Ashley W. Plank
177
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ECCV
2008
Springer
16 years 6 months ago
Robust 3D Pose Estimation and Efficient 2D Region-Based Segmentation from a 3D Shape Prior
In this work, we present an approach to jointly segment a rigid object in a 2D image and estimate its 3D pose, using the knowledge of a 3D model. We naturally couple the two proces...
Samuel Dambreville, Romeil Sandhu, Anthony J. Yezz...