M. Blume and D. R. Ballard, "Image annotation based on learning vector quantization and localized Haar wavelet transform features," Proc. SPIE 3077 181--190, 1997. Home/Search Document Details and Download
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Interactively Training Pixel Classifiers - Piater, al. (1999) (1 citation) (Correct)
....for machine learning, one can expect to see this technology incorporated in tools for constructing decision making components of larger systems that non specialists build. In particular, pixel classifiers are an important component of many vision applications, e.g. texture based segmentation [9, 1], image understanding [3, 14] object recognition [12] obstacle detection [15] and geoscience [5, 4] Despite these abundant applications, the construction of high performance pixel classifiers usually involves substantial cost in terms of human effort. A traditional procedure for classifier ....
M. Blume and D. R. Ballard, "Image annotation based on learning vector quantization and localized Haar wavelet transform features," Proc. SPIE 3077 181--190, 1997.
Interactively Training Pixel Classifiers - Piater, Riseman, Utgoff (1998) (1 citation) (Correct)
....can expect to see this technology incorporated in tools for constructing decision making components of larger systems that non specialists build. In particular, pixel classifiers are an important component of many vision applications, e.g. texture based segmentation (du Buf, Kardan, Spann 1990; Blume Ballard 1997), image understanding (Campbell et al. 1997; Jolly Gupta 1996) object recognition (Hafner Munkelt 1997) obstacle detection (Langer Jochem 1996) and geoscience (Carr 1996; Carpenter et al. 1997) Despite these abundant applications, the construction of high performance pixel classifiers ....
Blume, M., and Ballard, D. R. 1997. Image annotation based on learning vector quantization and localized Haar wavelet transform features. Proc. SPIE 3077:181--190.
Interactive Training of Pixel Classifiers Opens New.. - Piater, Riseman, Utgoff (1998) (Correct)
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M. Blume and D. R. Ballard. Image annotation based on learning vector quantization and localized Haar wavelet transform features. Proc. SPIE, 3077:181--190, 1997.
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