STAT 发表于 2025-3-25 05:27:00
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 ethanolJacket 发表于 2025-3-25 10:07:47
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 ethanolCHOIR 发表于 2025-3-25 14:51:05
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 ethanolear-canal 发表于 2025-3-25 18:19:18
http://reply.papertrans.cn/48/4714/471362/471362_24.pngoverture 发表于 2025-3-25 22:34:38
http://reply.papertrans.cn/48/4714/471362/471362_25.pngineluctable 发表于 2025-3-26 01:03:53
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单挑 发表于 2025-3-26 07:42:05
http://reply.papertrans.cn/48/4714/471362/471362_27.pngHeretical 发表于 2025-3-26 11:15:36
http://reply.papertrans.cn/48/4714/471362/471362_28.pngCondense 发表于 2025-3-26 16:31:18
http://reply.papertrans.cn/48/4714/471362/471362_29.pngHyperplasia 发表于 2025-3-26 19:33:40
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,