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Table 1 presents the results of this experiment. Note that ScriptSearch returns mostly the desired \hits, quot; with relatively little super uous \noise. quot; Subject A Patterns Subject B Patterns Recall Short Long All Short Long All

in Temporal-Domain Matching of Hand-Drawn Pictorial Queries
by Daniel Lopresti, Andrew Tomkins 1996
"... In PAGE 7: ... Table1 : Average precision as a function of recall for Subjects A and B. 3 Matching Pictorial Queries While the approach just described works well for text, when processing more complicated pictorial data, certain sub-structures within a larger image will correspond stroke-for-stroke, but these basic \blocks quot; may be drawn by the user in an otherwise arbitrary order.... ..."
Cited by 2

Table 1. Summary of picture query languages. Pictorial

in unknown title
by unknown authors
"... In PAGE 10: ... The representation of geographic data is a problem that remains unsolved. Table1 summarizes the nine picture query languages discussed above. These languages are designed to meet the objectives of each data-base system.... ..."

Table 2: Pictorial entities at different levels of processing

in Representations for Cognitive Vision: A Review of Appearance-Based, Spatio-Temporal, and Graph-Based Approaches 1
by Axel Pinz A, Horst Bischof B, Walter Kropatsch C, Gerald Schweighofer A 2006

Table 5. Results of the repeated measures ANOVA (two- factor within-subjects) for Extractors x Format x Reports (A x B x S), with the Error as the dependent variable.

in unknown title
by unknown authors 1996
"... In PAGE 11: ... A justification for this inability to demonstrate the effect between report formats, and the interaction between extractors and report formats, is related to the current sample size. Contrary to what was expected, the treatment magnitude (w2) observed for the present study was small for both the format effect and the extractor versus format interaction ( Table5 ) [52]. As a result, a much larger sample size would be necessary in order to detect these effects.... ..."
Cited by 1

Table 1. Disjoint Set of Temporal Relations Relation Notation Complement Pictorial

in A Maximum-Likelihood Approach to Symbolic Indirect Correlation
by Ashutosh Joshi, George Nagy, Daniel Lopresti, Sharad Seth 2006
Cited by 1

TABLE 3 Attention to the Brand, Pictorial, and Text of Print Advertisements: Size Effects

in Attention Capture and Transfer in Advertising: Brand, Pictorial, and Text-Size Effects
by Rik Pieters, Michel Wedel

Table 2. Pictoris: summary of the new consistent phys- ical parameters.

in Beta Pictoris: Back To The Zams
by F. Crifo, A. Vidal-Madjar, R. Lallement, R. Ferlet, M. Gerbaldi 437
"... In PAGE 2: ... CONCLUSION The new Hipparcos parallax solves the problems un- derlined up to now for the star: (i) the star is no longer underluminous and comes back onto the ZAMS; (ii) the models requiring only a very low ex- tinction are now in agreement with the observations. Table2 summarizes the new set of consistent physical parameters. Table 2.... ..."

Table 3. Successful Terms*

in Approved by
by Helen R. Tibbo 2005
"... In PAGE 6: ... Types of Terms Table 2. Demographics Table3 . Successful Terms Table 4.... In PAGE 36: ... Subject Retrieval in Pictorial Information Systems. Proceedings of the 18th International Congress of Historical Sciences, Round Table3 4: Electronic Filing, Recording, and Communication of Visual Historical Data: Montreal, 1995. lt;http://www.... In PAGE 67: ... Table3 . Successful Terms (ctd.... ..."

Table 1: Samples of advice in our advice language. Advice Pictorial Version IF An Enemy IS (Near ^ West) ^ An Obstacle IS (Near ^ North)

in Incorporating Advice into Agents that Learn from Reinforcements
by Richard Maclin, Jude W. Shavlik 1994
"... In PAGE 2: ...llow new rules (i.e., advice) to be inserted into the network at any time during learning. Table1 shows some sample advice one might provide to an agent learning to play a video game. We will use it to illustrate the process of integrating advice into a neural network.... In PAGE 2: ... Note that the inputs and outputs to the network remain unchanged; the ad- vice only changes how the function from states to the utility of actions is calculated. As an example of a multi-step plan, consider the rst entry in Table1 . Figure 3 shows the network additions that represent this advice.... In PAGE 3: ... Notice that during sub- sequent training the weight (and the de nition) of a piece of advice may be substantially altered. The second piece of advice in Table1 also contains a multi-step plan, but this time it is embedded in a repeat. Figure 4 shows the resulting additions to the network for this advice.... ..."
Cited by 41

Table 1: These multichip module interconnect parameters were provided by the AT amp;T Microelectronics Division. summarizes the data pictorially.

in Dynamically-Wiresized Elmore-Based Routing Constructions
by Todd D. Hodes, Bernard A. Mccoy, Gabriel Robins 1994
Cited by 9
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