the mismatching problem, we propose Adaptive Connection Establishment (ACE), an algorithm of building an overlay multicast tree among each source node and the peers within a certain diameter from the source peer, and further optimizing the neighbor connections that are not on the tree, while retaining the search

1 Introduction Let P = p1p2 \Delta \Delta \Delta pm be a pattern string and S = s1s2 \Delta \Delta \Delta sn a text string over an alphabet \Sigma. Let f: \Sigma \Theta \Sigma ! R be a weighting function. The weighted k-mismatches problem is to find all positions j of S such that m X

. This issue is known as the client-LDNS mismatch problem. Wearguethatrecentproposalstoaddresstheproblemsuffer fromseriouslimitations. Wethenproposeasimplenewsolution, named “FQDN extension”, which can solve the client-LDNS mismatch problem completely. We build a prototype system and demonstrate

Domain mismatch and schema mismatch are two of the important semantic integration problems for interoperating heterogeneous databases. This paper structures the domain mismatch problem, illustrates approaches to its solution, and then extends this to the schema mismatch problem. Structuring

global analysis techniques, such as word context and phrase structure, on the local set of documents produces results that are both more effective and more predictable than simple local feedback. 1 Introduction The problem of word mismatch is fundamental to information retrieval. Simply stated, it means

problems of composition are due to low-level issues of interoperability, such as mismatches in programming languages or database schemas. However, in this paper we highlight a different, and in manywaysmore pervasive, class of problem: architectural mismatch. Specifically, we use our experience in building

invited paper AbsrraeCln recent decades, adaptive arrays have been widely used in sonar, radar, wireless communications, microphone array speech processing, medical imaging and other fields. In practical array systems, traditional adaptive beamforming algorithms are known to degrade if some of exploited assumptions on the environment, sources, or antenna array become wrong or imprecise. Therefore, the robustness of adaptive beamforming techniques against environmental and array imperlections and uncertainties remains one of the key issues. In this paper, we overview a recently emerged approach to robust adaptive beamforming using worst-case performance optimization. 1.

Information Retrieval (IR) is concerned with locating documents that are relevant for a user's information need or query from a large collection of documents. A fundamental problem for information retrieval is word mismatch. A query is usually a short and incomplete description

Because of the large difference in coefficient of thermal expansion (CTE) between the lead converters and the silicon detectors in the SuperGLAST trays, failure levels are being predicted for the silicon detectors. This CTE mismatch is only further compounded by the substantial thickness

suggest that expanding query vectors with words that are lexically related to the original query words can ameliorate some of the problems of mismatched vocabularies. This paper examines the utility of lexical query expansion in the large, diverse TREC collection. Concepts are represented by Word