نتایج جستجو برای: pattern discovery
تعداد نتایج: 476938 فیلتر نتایج به سال:
Description of interactive oral story-telling in West African Niger-Congo languages, “orature” contrast to “literature”, has traditionally been firmly the domain anthropological linguistics. The discourse structures narrator-responder interaction and call-response chanted interludes their prosody are an open challenge analysts, linguists phoneticians. Two orature examples from related recorded ...
Frequent pattern discovery over data stream is a hard problem because a continuously generated nature of stream does not allow a revisit on each data element. Furthermore, pattern discovery process must be fast to produce timely results. Based on these requirements, we propose an approximate approach to tackle the problem of discovering frequent patterns over continuous stream. Our approximatio...
Protein, RNA and DNA are made up of sequences of amino acids/nucleotides, which interact among themselves via binding. For example, (1) protein-DNA binding regulates gene transcription [1]; and (2) Protein-protein binding plays important roles in cell cycle control and signal transduction [2].The binding is maintained by either the direct participation or assistance of conserved short segments ...
We claim that the core mechanism of a sufficiently general MIR system should be expressed in symbolic terms. We defend the idea that music database should be pre-analyzed before being scanned for MIR queries. We suggest a new vision of automated pattern analysis that generalizes the multiple viewpoint approach by adding a new paradigm based on analogy and temporal approach of musical scores. Th...
We describe algorithms for pattern matching and pattern learning in TOPS diagrams (formal descriptions of protein topologies). These problems can be reduced to checking for subgraph isomorphism and finding maximal common subgraphs in a restricted class of ordered graphs. We have developed a subgraph isomorphism algorithm for ordered graphs, which performs well on the given set of data. The maxi...
Health risks management such as epidemics study produces large quantity of spatio-temporal data. The development of new methods able to manage such specific characteristics becomes crucial. To tackle this problem, we define a theoretical framework for extracting spatio-temporal patterns (sequences representing evolution of locations and their neighborhoods over time). Classical frequency suppor...
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