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Talk is cheap, show me the code.

Datasets

  • Instance-335 (instance search) [Download]
  • CMM-Fashion (deep metric learning) [Download]
  • KPI, Yahoo, NASA, NAB (time series for anomaly detection) [Download]

Source codes (in C++ or Python)

  1. LIP-VIREO Traditional local interest point detectors and descriptors
  2. xkmeans k-means and its variants
  3. TSDG Indexing graph construction and graph-based fast NN search
  4. DASR Deeply Activated Salient Region for Instance Search
  5. product-quantizer Product quantizer for fast NN search
  6. PCA PCA analysis for both row >= col and row < col
  7. Mean-shift Mean shift for image shading and segmentation

Lecture Slides

  1. C Programming Lecture slides source codes in Latex
  2. Multimedia Information Retrieval Lecture slides in PDF
  3. Optimization Theory, Method and Practice Lecture slides sample in PDF