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In statistics, Canonical Correlation Analysis (CCA) is a kind of method to effectively analyze the correlation between two data. In recent years, some methods reported in literatures treated the action video sequences as the tensors, and calculated the similarity between two video sequences using CCA. Each of these tensors was unfolded into several matrices or vectors in the previous works. And estimated...
Spontaneous reporting systems of adverse drug events have been widely established in many countries to collect as could as possible all adverse drug events to facilitate the detection of suspected ADR signals via some statistical or data mining methods. Unfortunately, due to privacy concern or other reasons, the reporters sometimes may omit consciously some attributes, causing many missing values...
Nowadays, many countries have established spontaneous reporting systems (SRSs) to facilitate postmarketing surveillance of listed drugs and collect enough data for detecting unknown adverse drug reactions. Due to data in SRSs coming from different sources of reporters, there heralds the problem of duplicate reporting; even a small amount of duplicate records would bias the detection results. Although...
In this paper, we will investigate a more challenging vehicle matching problem. The problem is formulated as invariant image feature matching among opposite viewpoints of cameras, i.e. complementary object matching. For example, a front vehicle object may be given as a query to retrieve a rear vehicle object of the same vehicle. To solve the complementary object matching, invariant image feature is...
Learners can listen to music and read the synchronous lyrics using this mobile music playing application. The proposed system will make questions that correspond to lyrics for EFL (English as Foreign Language) learners studying. This approach focuses on retrieving verb-noun collocations and making appropriate questions automatically. BNC (British National Corpus) has been chosen to calculate mutual...
This paper presents a novel scheme for human action recognition. First of all, we employ the curvature estimation to analyze human posture patterns and to yield the discriminative feature sequences. The feature sequences are further represented into sets of strings. Consequently, we can solve human action recognition problem by the string matching technique. In order to boost the performance of string...
With the growing number of smart phones, the positioning issue for location-based service (LBS) in cellular networks has got much more popular and important in recent years. This paper proposes a signal-aware fingerprinting-based positioning technique (SAFPPT) in cellular networks, which contains two positioning methods: (i) Continuously Measured Positioning Method (CMPM) and (ii) Stop-and-Measured...
Due to the mass-production needs on Powerchip Technology Corporation, the output of equipments is running onto its maximum. Thus, in order to guarantee the delivering time, the transferring control systems around them (AMHS, MCS) are also required to be 100% uptime. For AMHS systems, which are collaborated by multiple similar subsystems, this goal can be easily reached. But for the MCS, which is a...
In this paper, the problem of constraint-based pattern discovery is investigated. By allowing more user-specified constraints other than traditional rule measurements, e.g., minimum support and confidence, research work on this topic endeavor to reflect real interest of analysts and relief them from the overabundance of rules. Surprisingly very little research has been conducted to deal with multiple...
In this article, a novel mixed index strategy for real-time update is presented. The strategy combines the inverted file with a structure index and implements the retrieval of both context and structure in an XML collection. It can be effectively used to optimize the query of path expression, decrease the number of update operations, accelerate the process of real-time update and shorten the response...
In this paper, we attempt to handle the maintenance of sequential patterns. New transactions may come from both the new customers and old customers. A fast updated sequential pattern tree (called FUSP-tree) structure is proposed to make the tree update process become easy. An incremental FUSP-tree maintenance algorithm is also proposed for reducing the execution time in reconstructing the tree. The...
In this paper, we propose an integrated OWL data mining and query system architecture for expressing the mined knowledge in the OWL format and for effectively answering users' queries. The proposed system consists of five sub-systems: query parser, rule inference system, ontology management system, knowledge generation system, and knowledge management system. We expect the architecture can provide...
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