Sparsity analysis for computer vision applications

... Sparsity Analysis for Computer Vision Applications CHENG BIN (B.Eng (Electronic Engineering and Information Science), USTC) A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR ... parameters for the corresponding algorithms and for the parameters for AC are set as those with the best results for NIM, and 2) the cluster number K also indicates the class number used for experiments, ... the best tuned parameters for each dataset (the parameters are uniform for an entire dataset) For comparison, we also include the results reported in [3], but note that, for the Berkeley dataset,...

robust principal component analysis for computer vision

... classic advantages of robust techniques for data analysis Conclusion and Future Work We have presented a method for robust principal component analysis that can be used for automatic learning ... the bases have been learned 2.2 Robustifying Principal Component Analysis The above methods for estimating the principal components are not robust to outliers that are common in training data and ... the principal components as ệ è c are the linear coefcients obtained by projecting the training data onto the principal subspace; that is, è cẵ cắ cề C A method for calculating the principal components...

robust principal component analysis for computer vision-1

Báo cáo hóa học: "Editorial Knowledge-Assisted Media Analysis for Interactive Multimedia Applications" ppt

... Advances in Signal Processing The last four papers selected for the special issue address diﬀerent yet important areas of knowledge-based me´ dia analysis In their paper, J Calic and W Campbell focus ... visual speech It overviews the most common audio and visual speech frontend processing, transformations performed on audio, visual, or joint audiovisual feature spaces and the actual measure of correspondence ... the next paper, S.-S Hung and D Liu propose a class of view-based projection-generation methods for mining various frequent sequential traversal patterns in the virtual environments The frequent...

Báo cáo hóa học: " Research Article Self-Timed Scheduling Analysis for Real-Time Applications" doc

... replaced for any new valuation t (i) such that t (i) ≤ t(i), for all i ∈ V , and any schedule s(i, k) admissible for t(i) is still admissible for t (i) The monotonic property is valid for SRDF ... could be given, since the simulation results only apply for the particular data streams that were used for testing This is unacceptable for hard -real-time systems We are convinced that the solution ... 1.3.2 Run-time scheduling For systems that execute multiple hard-RT and soft-RT jobs that process independent streams, fully static or static order scheduling are not suﬃcient This is for two reasons...

new in camera color imaging model for computer vision

... by inverting f We address this problem in the next chapter by proposing our new model 31 Chapter New in- camera imaging model In the previous chapter, we examine the in- camera image processing ... continuous in the working color space We show the importance of this gamut mapping step in modeling the in- camera imaging pipeline in the following chapters 2.3 Previous work As mentioned in Chapter ... about directly modeling the imaging pipeline In the traditional imaging models, radiometric calibration forms the critical part of formulating the imaging pipeline We brieﬂy explain what radiometric...

SPATIAL SENSOR DATA PROCESSING AND ANALYSIS FOR MOBILE MEDIA APPLICATIONS

... the collected spatial sensor information becomes a useful and powerful contextual feature to facilitate multimedia analysis and management in diverse media applications Most sensor information collected ... geospatial scene analysis and image processing techniques After more accurate sensor data is obtained, we further investigate the possibility of applying sensor data analysis techniques to mobile ... social media and web applications utilize the spatial sensor information, e.g., GPS locations and digital compass orientation, as a complementary feature to improve multimedia content analysis performance...

APPLICATIONS OF SOCIAL NETWORK ANALYSIS FOR BUILDING COMMUNITY DISASTER RESILIENCE potx

... spread of important information 36 APPLICATIONS OF SNA FOR BUILDING COMMUNITY DISASTER RESILIENCE On the infrastructure side of the issue, the means of managing bandwidths required for social networking ... APPLICATIONS OF SNA FOR BUILDING COMMUNITY DISASTER RESILIENCE REFERENCES APPENDIXES A Committee Biographies B Selected Recent References on Disaster Resilience, Social Networks, and Social Network ... another network (e.g., at home or within a religious community) ? The effectiveness of using networks to 38 APPLICATIONS OF SNA FOR BUILDING COMMUNITY DISASTER RESILIENCE promote resilience, disaster...

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