Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Dynamic Partial Function (DPF), which dynamically selects a subset of features to measure pairwise image similarity, has been shown to be very effective in near-replica image recognition. DPF, hover, suffers from the one-size-fits-all problem: it requires that all pairwise similarity measurements must use the same number of features.  propose methods for enhancing DPF's performance by allowing different numbers of features to be selected in a pairwise manner. Through extensive empirical studies,  show that our three schemes: thresholding, sampling and ighting, and hybrid schemes of these three basic approaches, substantially outperform DPF in near-replica image recognition.
['Yan Meng', 'Edward Y. Chang', 'Beitao Li']
I am writing a research paper on a idea Enhancing DPF for near-replica image recognition
[{"from": "human", "value": "I am writing a research paper on a idea Enhancing DPF for near-replica image recognition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Dynamic Partial Function (DPF), which dynamically selects a subset of features to measure pairwise image similarity, has been shown to be very effective in near-replica image recognition. DPF, hover, suffers from the one-size-fits-all problem: it requires that all pairwise similarity measurements must use the same number of features.  propose methods for enhancing DPF's performance by allowing different numbers of features to be selected in a pairwise manner. Through extensive empirical studies,  show that our three schemes: thresholding, sampling and ighting, and hybrid schemes of these three basic approaches, substantially outperform DPF in near-replica image recognition."}]