|
|
Filter Approach Feature Selection Methods to Support Multi-label Learning Based on ReliefF and Information Gain / / Newton Spolaôr, Everton Alvares Cherman, Maria Carolina Monard and Huei Diana Lee --
|
2012
|
1
|
|
|
Filter Bank Approach to Clutter Filtering in Ultrasound Imaging / / Seop-Hyeong Park, Moo-Ho Bae and Seong-Ho Song --
|
2012
|
1
|
|
|
A Filter-Based Format Conversion Approach / / Gwanggil Jeon, SeokHoon Kang and Young-Sup Lee --
|
2012
|
1
|
|
|
Filter-Based Mean-Field Inference for Random Fields with Higher-Order Terms and Product Label-Spaces / / Vibhav Vineet, Jonathan Warrell and Philip H.S. Torr --
|
2012
|
1
|
|
|
Filter construction and design / / M.W. Jornitz --
|
2006
|
1
|
|
|
Filter-driven search -- / 19.5.
|
2015
|
1
|
|
|
Filter factors -- / 3.5.2
|
2010
|
1
|
|
|
Filter Feeding / / Donald A. Croll and Bernie R. Tershy --
|
2002
|
1
|
|
|
Filter Response to High Frequency Shock Events / / Jason R. Foley, Jacob C. Dodson and Alain L. Beliveau --
|
2012
|
1
|
|
|
Filter System / / Wendy Hui Kyong Chun --
|
2020
|
1
|
|
|
A Filter Tree Approach to Protect Cloud Computing against XML DDoS and HTTP DDoS Attack / / Tarun Karnwal, Sivakumar Thandapanii and Aghila Gnanasekaran --
|
2013
|
1
|
|
|
Filter validation / / R.E. Madsen --
|
2006
|
1
|
|
|
Filter-wise pruning approach to FPGA implementation of fully convolutional network for semantic segmentation / / Masayuki Shimoda, Youki Sada, and Hiroki Nakahara --27.
|
2019
|
1
|
|
|
Filtered codebook -- / 6.3.3.4.
|
2011
|
1
|
