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Bayesian models for visual information retrieval

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Figure  2.2:  a)  A  Gaussian  with  mean  (0, 0)T  and  covariance  diag(4,0.25) and  its  replica rotated  by  0
Figure  2.3:  Precision/recall  curves  for Brodatz  (left)  and  Columbia  (right).  In  the  legend, MRSAR  means MRSAR  features,  H  color  histograms,  ML maximum likelihood,  MD   Maha-lanobis  distance,  and  I  intersection
Figure  3.3:  a) An homogeneous  and b) a non-homogeneous  image that are visually dissimilar but  have  the  same  color  histogram,  shown  in c).
Figure  4.2:  Precision/recall  curves  for  Brodatz.  In  the  legend,  MRSAR  means  MRSAR features,  DCT  the  DCT  features,  ML  maximum  likelihood,  and  MD  the  Mahalanobis   dis-tance.
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