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Correlation based methods for data cleaning, with application to biological databases

Correlation based methods for data cleaning, with application to biological databases

Correlation based methods for data cleaning, with application to biological databases

... of my father and sister II Correlation- Based Methods for Data Cleaning, with Application to Biological Databases by JUDICE, LIE YONG KOH, M.Tech Dissertation Presented to the Faculty of the School ... classification of data artifacts in biological databases and proposes three new correlation- based data cleaning methods The classification of biological data artifacts serves as a “roadmap” for data cleaning ... as the biological databases and data warehouses; new data generated from the worldwide experimental labs are directly submitted into these databases on a daily basis without adequate data cleaning...
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Báo cáo hóa học:

Báo cáo hóa học: " Research Article A Feedback-Based Algorithm for Motion Analysis with Application to Object Tracking" pdf

... video applications in Section OBJECT TRACKER: AN APPLICATION OF THE MOTION DIRECTION DETECTOR Tracking a moving object in a video is an important application of image sequence analysis In most tracking ... at Yahoo!, she was with Applied Research Group as a Principle Research Scientist in Multimedia Group Before that she worked at Strand Genomics, Bangalore, with Data Mining Group as a Consultant ... main motivations for us is that simple motion information is adequate for perceiving movement at a level of detail sufficient in many applications Human abilities at perceiving motion are remarkably...
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Báo cáo hóa học:

Báo cáo hóa học: "A Probabilistic Model for Face Transformation with Application to Person Identification" pot

... using a face transformation model In the case where we have multiple template images for person P, we should combine them into a single face model ᏹ p (this would require a new formula for the face ... significantly outperform two popular face recognition algorithms, namely eigenfaces and fisherfaces Finally, we outline future work MODELING FACE TRANSFORMATION In this section, we model the transformation ... automatically all the parameters of the face transformation model ᏹ, that is, {w}, {δ }, {Σ}, and transition probabilities {aᏴ } and {aᐂ } A Probabilistic Model for Face Transformation 513 Table 1: HMM notation...
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Smoothed methods for fracture problems and application to composite materials

Smoothed methods for fracture problems and application to composite materials

... exist for a few simple problems, several numerical methods for fracture mechanics have been developed responding to industry and research demands In the following, numerical methods for fracture ... as CTOD, as a measure of fracture toughness for materials, to which linear elastic fracture mechanics is not applicable Another important parameter for plastic fracture mechanics is J contour ... usually used for fracture and fatigue analysis of structures In this thesis, smoothing technique is applied to develop numerical methods for fracture mechanics and the application of smoothed method...
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Báo cáo y học:

Báo cáo y học: "Statistical methods for detecting and comparing periodic data and their application to the nycthemeral rhythm of bodily harm: A population based study" ppsx

... each other revealing only two different nycthemeral rhythms We demonstrate that the nycthemeral rhythms on Friday and Saturday are equal and differ significantly from the rhythms of the other ... of the study, analyzed the data and drafted the manuscript UR contributed to the conception and the design of the study TB acquired the data IK contributed to the analysis JK contributed to the ... closely examined We investigate if the seven days of the week show different nycthemeral rhythms of bodily harm Data handling and calculations were performed by Microsoft Excel ® , Matlab ® and...
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Báo cáo sinh học:

Báo cáo sinh học: " Longitudinal random effects models for genetic analysis of binary data with application to mastitis in dairy cattle" pdf

... Bayesian inference in threshold models using Gibbs sampling, Genet Sel Evol 17 (1995) 229–249 [16] Wright S., An analysis of variability in number of digits in an inbred strain of guinea pigs, Genetics ... mastitis in their first lactation 459 Longitudinal binary data Table I Distribution of cows by the number of mastitis cases Test with mastitis 10 Number of cows 270 32 11 3 1 1 % of total 82.1 ... γ is a vector containing all parameters for all cows, β includes effects of age-season of calving as parameters, u is a vector of additive genetic values associated with all the Wilmink function...
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An effective trajectory based algorithm for ball detection and tracking with application to the analysis of broadcast sports video

An effective trajectory based algorithm for ball detection and tracking with application to the analysis of broadcast sports video

... are based on the location and trajectory of the ball For example, touching of the ball (a player coming into contact with the ball physically), kicking of the ball, and passing of the ball These ... AN EFFECTIVE TRAJECTORY- BASED ALGORITHM FOR BALL DETECTION AND TRACKING WITH APPLICATION TO THE ANALYSIS OF BROADCAST SPORTS VIDEO YU XINGUO (M.Eng, NTU) A THESIS SUBMITTED FOR THE DEGREE OF ... enhance the accuracy of ball detection and tracking in BSV The details of the methods and the results obtained are described further in this thesis Ball Detection and Tracking in Tennis: With the...
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Data based methods for modeling, control and monitoring of chemical processes

Data based methods for modeling, control and monitoring of chemical processes

... DATA- BASED METHODS FOR MODELING, CONTROL AND MONITORING OF CHEMICAL PROCESSES CHENG CHENG (B Eng., ECUST, China) (M Eng., ECUST, China) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY ... the performance of many advanced control and monitoring methods is based on the availability of accurate models However, most chemical processes are multivariable and nonlinear in nature, and their ... data- based methods and model -based methods In what follows, the basic theories of the two methods will be introduced 2.3.1 Data- based methods Multivariate statistical analysis is a popular data- based...
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Báo cáo khoa học:

Báo cáo khoa học: "Entailment-based Text Exploration with Application to the Health-care Domain" pot

... exploration to proposition-based exploration Our model combines the textual entailment paradigm within the exploration process, with application to the health-care domain According to our model, it is the ... exploration application on querying, exploration, and data 83 Application to the Health-care Domain As a prominent use case, we applied our exploration system to the health-care domain With the advent ... mapped to the concept ‘Hormone’, focusing on the argument ‘prednisone’ Figure 6: Block diagram of the exploration system access The exploration application is the front-end user application for the...
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Báo cáo khoa học:

Báo cáo khoa học: "A SNoW based Supertagger with Application to NP Chunking" ppt

... Viterbi SNoW left -to- right SNoW right -to- left SNoW data is more vulnerable to the label bias problem Application to NP Chunking Now we come back to the NP chunking problem The standard dataset of NP ... TBL with supertags given by Srinivas’ trigrambased supertagger SNoW- STAG = fast TBL with supertags given by our SNoW supertagger SNoWSTAG2 = fast TBL with augmented supertags given by our SNoW supertagger ... our supertagger achieves an accuracy of We then apply our supertagger to NP chunking The purpose of this paper is to find a better way to exploit syntactic information which is useful in NP chunking,...
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Báo cáo khoa học:

Báo cáo khoa học: "Theoretical Evaluation of Estimation Methods for Data-Oriented Parsing" pot

... give a more formal treatment of bias and consistency in the context of DOP (7) f P6 i for i = for i = j=1 fj (8) Throughout this paper I take frequencies fi to be relative to the size of the corpus ... again simple combinations of the frequencies f1 f4 Observations of these frequencies therefore not add any extra information, and the problem of finding the weights of the target grammar is ... the appropriate test either Both estimation methods for STSGs and the criteria for evaluating them, thus require thorough rethinking In forthcoming work we therefore study yet another estimator,...
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Báo cáo khoa học:

Báo cáo khoa học: "Combining Trigram-based and Feature-based Methods for Context-Sensitive Spelling Correction" docx

... (Golding and Roth, 1996) We adopt the Bayesian hybrid method, which we will call Bayes, having experimented with each of the methods and found Bayes to be among the best-performing for the task at hand ... parameters compared to known methods, which are based on word trigrams This method also has the advantage that training can be done once and for all, and quite manageably, for all confusion sets; ... disambiguating word senses in a large corpus Computers and the Humanities, 26:415-439 Golding, Andrew P~ and Dan Roth 1996 Applying Winnow to context-sensitive spelling correction In Lorenza Saitta, editor,...
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Báo cáo khoa học:

Báo cáo khoa học: "Similarity-Based Methods For Word Sense Disambiguation" docx

... the two words that make up the pseudo -word 3.2 Task: Pseudo -word Sense Disambiguation In the usual word sense disambiguation problem, the method to be tested is presented with an ambiguous word ... deciding which word pairs require a similarity-based estimate, a method for combining information from similar words, and, of course, a function measuring the similarity between words We give ... maximum likelihood estimate (MLE) for word pair probabilities unreliable The MLE for the probability of a word pair (Wl, w2), conditional on the appearance of word wl, is simply PML(W2[wl) c(wl,...
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survey of appearance-based methods for object recognition

survey of appearance-based methods for object recognition

... to the camera (image of the object) Examples for local features of an object are, e.g., the color, (mean) gradient or (mean) gray value of a pixel or small region For object recognition tasks the ... Subspace Methods 4.1 Introduction In this section we discuss global appearance-based methods for object recognition In fact, the discussion is reduced to subspace methods The main idea for all of these ... local blobs of uniform brightness as the most salient aspects of an image and are therefore more suited for the latter Other approaches for example take into account the entropy of a region (Entropy...
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