Sentence examples for insensitive representation from inspiring English sources

Recently, auto-encoder algorithms are drawing more and more attentions because of its attractive performance in learning insensitive representation with respect to data changes.

In this paper, we analyze the relative strengths of different lighting insensitive representations, and propose efficient classifier combination schemes that result in better recognition rates.

The HELP assay is a microarray-based method that detects the subset of unmethylated HpaII fragments in the genome and uses the corresponding, methylation-insensitive MspI representations as a control.

First, a long frame length endues the spectrogram with a low time resolution, which makes the representation insensitive to time variations.

Then the high similarity between Figure 1b and Figure 1d verifies that the distribution of the largest few coefficients is indeed insensitive to the representation error.

In Simulation 1, as in PMSP96, the orthographic and phonological representations are designed specifically to overcome the dispersion problem: while this is generally a desirable thing as it promotes generalisation it is also likely to reduce any length effect as the orthographic representations become insensitive to length.

For most applications, features for image content representation must be insensitive to variations in size, translation, and rotation.

Results indicated that intra-chamber lever location cues mediated performance on the violation element whereas performance on rule-consistent elements within pattern chunks was mediated by an internal mnemonic representation that was insensitive to changes in lever location cues.

Thus, the maximum-likelihood estimate of sensory input from population responses is insensitive to inhomogeneity of sensory representations, and always converges on the input stimulus.

High-level representation has several advantages such as insensitive to noise and intuitive to human being.

By design, however, clutter and synergistic image segmentation make use of chromatic information; these composite features are rather insensitive to the precise color space or color representation.