Tools
Sorted by:
Try your query at:
 |
 |
 |
 |
 |
 |
Results 1 - 10
of
58,982
Table 2: Similarity function decompositon.
"... In PAGE 4: ... Thus, the similarity between the sets is the average of the values on matched pairs (see definition in [14]). Table2 lists all the defined measures. The target similarity values ultimately depend on the sim- ilarities between data types, values and URIRef and the way these are propagated through the relationships in the graphs.... ..."
Table 1: Example of common functions of devices: Same functions are mapped to the same gesture; similar functions may be mapped to the same gesture if this is intuitive and no other function is overloaded.
1997
"... In PAGE 2: ... 1). Further control is ac- cording to Table1 , where one gesture is used for each line. Every gesture is mapped to several similar tasks from di erent devices2, which reduces the number of gestures and makes the dialogue more intuitive.... ..."
Cited by 6
Table 3: Example of common functions of devices: Same functions are mapped to the same gesture; similar functions may be mapped to the same gesture if this is intuitive and no other function is overloaded.
1997
"... In PAGE 13: ... Depending on the gesture commands are sent to the devices and feedback is applied. The correlation of gestures and commands is shown in Table3 . If the dialogue nishes by time out or by the pointing gesture or a certain termination gesture the control ow enters the direction determination (Figure 12).... In PAGE 30: ...evice at a time. First a device is selected by the unique pointer click. Depending on the selected device, the gesture will execute a certain command. Table3 shows a possible mapping. The stars indicate that the device in that column supports the function of the row.... ..."
Cited by 4
Table 1. Summary of Similarity Function Properties name
1999
"... In PAGE 9: ....3.5. Summary Several features of the measures of similarity listed above are sum- marized in Table1 . Base LM constraints are conditions that must be satisfied by the probability estimates of the base language model.... In PAGE 11: ... 4. Word-Sense Disambiguation Since the experiments described in the previous section demonstrated promising results for similarity-based estimation, we ran a second set of experiments designed to help us compare and analyze the somewhat diverse set of similarity measures given in Table1 . Unfortunately, the KL divergence and the confusion probability have different requirements on the base language model, and so we could not run a direct four-way comparison.... ..."
Cited by 57
Table 1: Similarity functions NAME FORMULA
"... In PAGE 11: ... This document similarity can be measured by calculating the cosine of the angle between the two vectors (Salton amp; McGill, 1997). In addition to the cosine similarity measure, the experimental IR system is also capable of com- puting various other similarity measures (please see Table1 and Figure 8). For instance, the inner product, overlap, Dice, as well as the Jaccard similarity coefficients, can be computed and com- pared.... ..."
Table 2 Query-cluster similarity functions
2003
"... In PAGE 7: ... To calculate the query-cluster similarity, we define the distance between the query image and clusters. We use four methods to compute the distance, as shown in Table2 : distance to a... ..."
Table 1. Evaluating similarity functions Categorical Continuous
Table 1. Evaluating similarity functions Categorical Continuous
Table 1: Extended Boolean Algebra Similarity Function
Results 1 - 10
of
58,982
