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Titlebook: International Conference on Advances in Pattern Recognition; Proceedings of ICAPR Sameer Singh Conference proceedings 1999 Springer-Verlag

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樓主: Coagulant
21#
發(fā)表于 2025-3-25 05:27:00 | 只看該作者
J. G Taylornvolved are widely recognized as joint regulators of various forms of animal and human behavior, apart from their more specific functions. Such considerations go a long way towards explaining the abundance of etiological and pathogenetic “endocrine” theories which link a certain illness with ethanol
22#
發(fā)表于 2025-3-25 10:07:47 | 只看該作者
J Kittlernvolved are widely recognized as joint regulators of various forms of animal and human behavior, apart from their more specific functions. Such considerations go a long way towards explaining the abundance of etiological and pathogenetic “endocrine” theories which link a certain illness with ethanol
23#
發(fā)表于 2025-3-25 14:51:05 | 只看該作者
G. Sudhir,Bir Bhanunvolved are widely recognized as joint regulators of various forms of animal and human behavior, apart from their more specific functions. Such considerations go a long way towards explaining the abundance of etiological and pathogenetic “endocrine” theories which link a certain illness with ethanol
24#
發(fā)表于 2025-3-25 18:19:18 | 只看該作者
25#
發(fā)表于 2025-3-25 22:34:38 | 只看該作者
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發(fā)表于 2025-3-26 01:03:53 | 只看該作者
Database-Retrieval Oriented Approach for Model-Based Object Recognitionew the object recognition problem as - “find . best match” problem. We present a database-retrieval oriented approach for this case wherein the goal is to index, retrieve, rank and output a few top-ranked models, according to their similarity with an input query object. The approach consists of thre
27#
發(fā)表于 2025-3-26 07:42:05 | 只看該作者
28#
發(fā)表于 2025-3-26 11:15:36 | 只看該作者
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發(fā)表于 2025-3-26 16:31:18 | 只看該作者
30#
發(fā)表于 2025-3-26 19:33:40 | 只看該作者
Using Natural Language and Video Data to Query and Learn American Football Playsspatio-temporal pattern recognition problem which we propose to solve by integrating image understanding and natural language understanding. Specifically, this paper describes the model representation used at different levels of abstraction incorporating several types of knowledge: expert knowledge,
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