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» High Performance Reasoning with Very Large Knowledge Bases
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TKDE
2008
378views more  TKDE 2008»
14 years 9 months ago
Modeling Image Data for Effective Indexing and Retrieval in Large General Image Databases
In this paper, we propose an image semantic model based on the knowledge and criteria in the field of linguistics and taxonomy. Our work bridges the "semantic gap" by sea...
Xiaoyan Li, Lidan Shou, Gang Chen, Tianlei Hu, Jin...
JACM
2010
137views more  JACM 2010»
14 years 8 months ago
Reconciling description logics and rules
Description logics (DLs) and rules are formalisms that emphasize different aspects of knowledge representation: whereas DLs are focused on specifying and reasoning about conceptual...
Boris Motik, Riccardo Rosati
101
Voted
ICDCS
2007
IEEE
15 years 4 months ago
STEP: Sequentiality and Thrashing Detection Based Prefetching to Improve Performance of Networked Storage Servers
State-of-the-art networked storage servers are equipped with increasingly powerful computing capability and large DRAM memory as storage caches. However, their contribution to the...
Shuang Liang, Song Jiang, Xiaodong Zhang
VTC
2007
IEEE
15 years 3 months ago
Q-Learning-based Hybrid ARQ for High Speed Downlink Packet Access in UMTS
Abstract-In this paper, a Q-learning-based hybrid automatic repeat request (Q-HARQ) scheme is proposed to achieve efficient resource utilization for high speed downlink packet acc...
Chung-Ju Chang, Chia-Yuan Chang, Fang-Ching Ren
INFOCOM
2003
IEEE
15 years 2 months ago
Exploiting Parallelism to Boost Data-Path Rate in High-Speed IP/MPLS Networking
Abstract—Link bundling is a way to increase routing scalability whenever a pair of Label Switching Routers in MPLS are connected by multiple parallel links. However, link bundlin...
Indra Widjaja, Anwar Elwalid