Meanwhile, hashing local features
Star Student Project into a discrete set of bins and indexed
subsequently is an alternative choice, for which methods like Star
Student Project Locality Sensitive Hashing (LSH) Star Student
Project, Kernalized LSH Star Student Project, and Spectral
Hashing Star Student Project are also exploited in the
literature. The visual word uncertainty and ambiguity are also
investigated in Star Student Project using methods such as
Hamming Embedding Soft Assignments and Kernelized Codebook Star
Student Project. Stepping forward from unsupervised vector
quantization, semantic or category labels are also exploited Star
Student Project to supervise the vocabulary construction, which
learns the vocabulary to Star Student Project be
more suitable for the subsequent Star Student Project classifier
training.