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Table 3: Background characteristics relevant to selection of image tracking algorithms.

in Task and Environment-Sensitive Tracking
by Peter N. Prokopowicz, Michael J. Swain, Roger E. Kahn 1994
"... In PAGE 3: ... But most environmental fac- tors are subject to change or cannot always be known in advance. Table3 summarizes the background char- acteristics that our robot considers when choosing the right image-tracking algorithm. 5 A Suite of Real-Time Tracking Algo- rithms The tracking algorithms described here form a set of complementary techniques that can be run in real time with currently available hardware, and are capa- ble of being used without user intervention n28e.... ..."
Cited by 12

Table 12: Performance of the advanced algorithm for pronoun anaphora

in unknown title
by unknown authors 1994
"... In PAGE 21: ... 3.4 #5CSmart quot; Pronoun Implementation Results Table12 shows the performance of the advanced heuristic, and table 13 shows a simple breakdown of the errors. Again the baseline totals have been included in table 12 for easy comparison.... ..."

Table 7: Breakdown of the errors for the advanced algorithm.

in A Scalable, Empirical Approach to Anaphoric Reference
by Caroline Tice

Table 15: Intermediate performance results of the advanced algorithm for

in unknown title
by unknown authors 1994

Table 6: Performance of the advanced algorithm for de nite noun phrase anaphora.

in A Scalable, Empirical Approach to Anaphoric Reference
by Caroline Tice
"... In PAGE 16: ...\Smart quot; Implementation Results Table6 shows the performance of the advanced heuristic. The baseline to- tals are also shown, for comparison.... ..."

Table 6: Performance of the advanced algorithm for de#0Cnite noun phrase

in unknown title
by unknown authors 1994
"... In PAGE 15: ...#5CSmart quot; Implementation Results Table6 shows the performance of the advanced heuristic. The baseline to- tals are also shown, for comparison.... ..."

Table 1. Algorithms RV-Simple(left) and RV-Advanced.

in Checking Temporal Business Rules
by Kare J. Kristoffersen, K˚are J. Kristoffersen, Christian Pedersen, Henrik R. Andersen 2004
Cited by 2

Table 5. Comparison between LVQPRU and three advanced algorithms.

in International Journal on Artificial Intelligence Tools c ○ World Scientific Publishing Company PROTOTYPE CLASSIFIER DESIGN WITH PRUNING
by Jiang Li, Michael T. Manry, Changhua Yu, D. Randall Wilson, Jiang Li, Michael T. Manry, Chuanghua Yu, All Wilson
"... In PAGE 31: ...Similar observations are obtained in Table5 , in which the comparison results... ..."

Table 9: Detailed analysis of errors made by advanced algorithm. `* apos; marks

in unknown title
by unknown authors 1994

Table 3: Dynamic Relevance Algorithm

in Making forward chaining relevant
by Fahiem Bacchus 1998
"... In PAGE 6: ... Finally, it checks to see if the complement of R is irrelevant by checking to see if the actions in R yield the same final state as the entire sequence. A more efficient incremental implementation is given in Table3 . This algo- rithm would be called whenever we try to grow an action sequence by adding a new action a.... ..."
Cited by 7
Results 1 - 10 of 66,558