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TABLE I EVALUATION OF RECOGNITION SYSTEM.

in Movement Awareness for a Sentient Environment
by Robert Headon Laboratory, Robert Headon 2003
Cited by 4

TABLE I EVALUATION OF RECOGNITION SYSTEM.

in Movement Awareness for a Sentient Environment
by Robert Headon Laboratory

Table 4. Performance of the Title Recognition System

in Integrating Punctuation Rules and Naïve Bayesian Model for Chinese Creation Title Recognition
by Conrad Chen, Hsin-hsi Chen
"... In PAGE 9: ...4% of precision but gains 3% of recall in comparison with the former. Table4 summaries the total performance of our creation title recognition system.... ..."

Table 3. EER (%) for each bimodal recognition system

in Histogram Equalization in SVM Multimodal Person Verification
by Mireia Farrús, Pascual Ejarque, Andrey Temko, Javier Hernando
"... In PAGE 7: ...06 TBimodal systems. Table3 shows the fusion results for two bimodal systems: a prosody based system fused with the voice spectral recognition system, and a voice spectrum based system fused with the face recognition system, using the same fusion methods as above. As in the monomodal systems (Table 2), matcher weighting fusion is slightly worse than the support vector machines.... ..."

Table 2. EER (%) for each monomodal recognition system

in Histogram Equalization in SVM Multimodal Person Verification
by Mireia Farrús, Pascual Ejarque, Andrey Temko, Javier Hernando
"... In PAGE 7: ... Table 3 shows the fusion results for two bimodal systems: a prosody based system fused with the voice spectral recognition system, and a voice spectrum based system fused with the face recognition system, using the same fusion methods as above. As in the monomodal systems ( Table2 ), matcher weighting fusion is slightly worse than the support vector machines. Table 3.... ..."

Table 5: Comparison of accelerated speech recognition systems

in Efficient Vocal Tract Normalization in Automatic Speech Recognition
by Sirko Molau, Stephan Kanthak, Hermann Ney 2000
"... In PAGE 6: ...1%). Thus, also in recognition systems that are accelerated to near real-time ( Table5 ) we observe a signi cantly improved WER of 24.8% from VTN compared to 26.... ..."
Cited by 2

Table 1: Formulas of the DLM face recognition system

in Face Recognition by Dynamic Link Matching
by Laurenz Wiskott, Christoph von der Malsburg 1996
"... In PAGE 5: ... A simple integrating winner-take-all mechanism detects the correct model (see Figure 2). The equations of the system are given in Table1 ; the respective symbols are listed in Table 2. In the following sections, we will explain the system step by step: blob formation, blob mobilization, interaction between two layers, link dynamics, attention dynamics, and recognition dynamics.... ..."
Cited by 5

Table 1: Formulas of the DLM face recognition system

in Face Recognition by Dynamic Link Matching
by Laurenz Wiskott, Christoph Von Der Malsburg 1996
"... In PAGE 5: ... It interacts with the running blob, restricts its region of motion, and can be shifted by it to the actual face position. The equations of the system are given in Table1 ; the respective symbols are listed in Table 2. In the following sections, we will explain the system step by step: blob formation, blob mobilization, interaction between two layers, link dynamics, attention dynamics, and recognition dynamics; in order to make the description clearer, parts of the equations in Table 1 corresponding to these functions will be repeated.... In PAGE 5: ... The equations of the system are given in Table 1; the respective symbols are listed in Table 2. In the following sections, we will explain the system step by step: blob formation, blob mobilization, interaction between two layers, link dynamics, attention dynamics, and recognition dynamics; in order to make the description clearer, parts of the equations in Table1 corresponding to these functions will be repeated. 2.... ..."
Cited by 5

Table 1 - Test Results of the image recognition system

in Mobile vision and cultural heritage: the AGAMEMNON project
by Massimo Ancona, Marco Casamassima, Walter Cazzola, Davide Conte, Massimiliano Pittore, Gianluca Quercini, Naomi Scagliola, Matteo Villa 2006
"... In PAGE 9: ... A preliminary test has been performed with a small training (115 images) and test (113 images) set. The results are summarized in Table1 . As we can see, results are very good, but we have to remark one important aspect.... ..."
Cited by 1

Table5. The results of face recognition system Method

in
by Ching-han Chen, Chia -te Chu
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