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CVIU
2004
115views more  CVIU 2004»
15 years 24 days ago
Dynamic learning from multiple examples for semantic object segmentation and search
We present a novel ``dynamic learning'' approach for an intelligent image database system to automatically improve object segmentation and labeling without user interven...
Yaowu Xu, Eli Saber, A. Murat Tekalp
ICRA
2010
IEEE
154views Robotics» more  ICRA 2010»
14 years 11 months ago
Multi-agent path planning with multiple tasks and distance constraints
— The DPC algorithm developed in our previous work is an efficient way of computing optimal trajectories for multiple robots in a distributed fashion with timeparameterized cons...
Subhrajit Bhattacharya, Maxim Likhachev, Vijay Kum...
162
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MICAI
2010
Springer
14 years 11 months ago
Automatic Image Annotation Using Multiple Grid Segmentation
Abstract. Automatic image annotation refers to the process of automatically labeling an image with a predefined set of keywords. Image annotation is an important step of content-ba...
Gerardo Arellano, Luis Enrique Sucar, Eduardo F. M...
ACCV
2010
Springer
14 years 8 months ago
Multiple Viewpoint Recognition and Localization
This paper presents a novel approach for labeling objects based on multiple spatially-registered images of a scene. We argue that such a multi-view labeling approach is a better fi...
Scott Helmer, David Meger, Marius Muja, James J. L...
ICASSP
2011
IEEE
14 years 4 months ago
Image editing based on Sparse Matrix-Vector multiplication
This paper presents a unified model for image editing in terms of Sparse Matrix-Vector (SpMV) multiplication. In our framework, we cast image editing as a linear energy minimizat...
Ying Wang, Hongping Yan, Chunhong Pan, Shiming Xia...