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DBP WITH THE APPLICATION IN HOTEL ENERGY MANAGEMENT

For DBP, optimization problem is formulated with the objective of maximizing expected reward, which is received when the amount of energy saving satisfies the contract. For a general distribution of energy consumption, we give a general condition for the optimal bid and outline an algorithm to find the solution without ...

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INCREMENTAL DETECTION IN DISTRIBUTED DATA

Real life data is often dirty. To clean the data, efficient algorithms for detecting errors have to be in place. Errors in the data are typically detected as violations of constraints (data quality rules), such as functional dependencies (FDs), denial constraints, and conditional functional dependencies (CFDs). When the data is ...

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SPARSE BAYESIAN REGRESSION BASED PHOTOMETRIC STEREO FOR GENERAL DIFFUSE SURFACES

            Photometric stereo involves estimating the surface normals of an object given appearance variations in multiple images taken under different lighting conditions. Most conventional algorithms for non-Lambertian photometric stereo can be partitioned into two categories. The first category is built upon stable outlier rejection techniques while assuming a dense Lambertian ...

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SPARSE BAYESIAN REGRESSION BASED PHOTOMETRIC STEREO FOR GENERAL DIFFUSE SURFACES

Photometric stereo involves estimating the surface normals of an object given appearance variations in multiple images taken under different lighting conditions. Most conventional algorithms for non-Lambertian photometric stereo can be partitioned into two categories. The first category is built upon stable outlier rejection techniques while assuming a dense Lambertian structure ...

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