Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a new framework for evaluating a variety of computer vision systems and components is introduced. This framework is particularly ll suited for domains such as classification or recognition systems, where blind application of the i.i.d. assumption would reduce an evaluation's accuracy, such as with classification or recognition systems. With few exceptions, most previous work on vision system evaluation does not include confidence intervals, since they are difficult to calculate, and are often coupled with strict requirements.  show how a set of previously overlooked replicate statistics tools can be used to obtain tighter confidence intervals of evaluation estimates while simultaneously reducing the amount of data and computation required to reach such sound evaluatory conclusions. In the included application of the new methodology, the ll-known FERET face recognition system evaluation is extended to incorporate standard errors and confidence intervals.
['Ross J. Micheals', 'Terrance E. Boult']
I am writing a research paper on a idea Efficient evaluation of classification and recognition systems
[{"from": "human", "value": "I am writing a research paper on a idea Efficient evaluation of classification and recognition systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: , a new framework for evaluating a variety of computer vision systems and components is introduced. This framework is particularly ll suited for domains such as classification or recognition systems, where blind application of the i.i.d. assumption would reduce an evaluation's accuracy, such as with classification or recognition systems. With few exceptions, most previous work on vision system evaluation does not include confidence intervals, since they are difficult to calculate, and are often coupled with strict requirements.  show how a set of previously overlooked replicate statistics tools can be used to obtain tighter confidence intervals of evaluation estimates while simultaneously reducing the amount of data and computation required to reach such sound evaluatory conclusions. In the included application of the new methodology, the ll-known FERET face recognition system evaluation is extended to incorporate standard errors and confidence intervals."}]