In this work we propose a probabilistic model for generic object classification from raw range images. Our approach supports a validation process in which classes are verified usi...
We present a new data structure that facilitates approximate nearest neighbor searches on a dynamic set of points in a metric space that has a bounded doubling dimension. Our data...
To solve the overlapping search of multidimensional spatial database containing large quantity of objects with dynamic spatial extent, this paper proposes an index structure named ...
Yintian Liu, Changjie Tang, Lei Duan, Tao Zeng, Ch...
This work presents a generalized theoretical framework that allows incorporation of opponent models into adversary search. We present the M algorithm, a generalization of minimax ...
The ideas of dependency directed backtracking (DDB) and explanation based learning (EBL) have developed independently in constraint satisfaction, planning and problem solving comm...