%PDF-1.3 1 0 obj << /Kids [ 4 0 R 5 0 R 6 0 R 7 0 R 8 0 R 9 0 R 10 0 R 11 0 R 12 0 R ] /Type /Pages /Count 9 >> endobj 2 0 obj << /Subject (Neural Information Processing Systems http\072\057\057nips\056cc\057) /Publisher (Curran Associates\054 Inc\056) /Language (en\055US) /Created (2014) /EventType (Poster) /Description-Abstract (The key challenge of face recognition is to develop effective feature representations for reducing intra\055personal variations while enlarging inter\055personal differences\056 In this paper\054 we show that it can be well solved with deep learning and using both face identification and verification signals as supervision\056 The Deep IDentification\055verification features \050DeepID2\051 are learned with carefully designed deep convolutional networks\056 The face identification task increases the inter\055personal variations by drawing DeepID2 features extracted from different identities apart\054 while the face verification task reduces the intra\055personal variations by pulling DeepID2 features extracted from the same identity together\054 both of which are essential to face recognition\056 The learned DeepID2 features can be well generalized to new identities unseen in the training data\056 On the challenging LFW dataset\054 99\05615\045 face verification accuracy is achieved\056 Compared with the best previous deep learning result on LFW\054 the error rate has been significantly reduced by 67\045\056) /Producer (PyPDF2) /Title (Deep Learning Face Representation by Joint Identification\055Verification) /Date (2014) /ModDate (D\07220141202174311\05508\04700\047) /Published (2014) /Type (Conference Proceedings) /firstpage (1988) /Book (Advances in Neural Information Processing Systems 27) /Description (Paper accepted and presented at the Neural Information Processing Systems Conference \050http\072\057\057nips\056cc\057\051) /Editors (Z\056 Ghahramani and M\056 Welling and C\056 Cortes and N\056D\056 Lawrence and K\056Q\056 Weinberger) /Author (Yi Sun\054 Yuheng Chen\054 Xiaogang Wang\054 Xiaoou Tang) /lastpage (1996) >> endobj 3 0 obj << /Type /Catalog /Pages 1 0 R >> endobj 4 0 obj << /Contents 13 0 R /Parent 1 0 R /Resources 14 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 48 0 R 49 0 R 50 0 R 51 0 R 52 0 R 53 0 R 54 0 R 55 0 R 56 0 R ] /Type /Page >> endobj 5 0 obj << /Contents 57 0 R /Parent 1 0 R /Resources 58 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 67 0 R 68 0 R 69 0 R 70 0 R 71 0 R 72 0 R 73 0 R 74 0 R 75 0 R 76 0 R 77 0 R 78 0 R 79 0 R 80 0 R 81 0 R 82 0 R 83 0 R 84 0 R 85 0 R 86 0 R 87 0 R ] /Type /Page >> endobj 6 0 obj << /Contents 88 0 R /Parent 1 0 R /Resources 89 0 R /Group 108 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 109 0 R 110 0 R 111 0 R 112 0 R 113 0 R 114 0 R ] /Type /Page >> endobj 7 0 obj << /Contents 115 0 R /Parent 1 0 R /Resources 116 0 R /Group 108 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 119 0 R 120 0 R 121 0 R 122 0 R 123 0 R 124 0 R 125 0 R 126 0 R 127 0 R ] /Type /Page >> endobj 8 0 obj << /Contents 128 0 R /Parent 1 0 R /Resources 129 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 130 0 R 131 0 R 132 0 R 133 0 R 134 0 R 135 0 R 136 0 R 137 0 R 138 0 R 139 0 R 140 0 R 141 0 R 142 0 R ] /Type /Page >> endobj 9 0 obj << /Contents 143 0 R /Parent 1 0 R /Resources 144 0 R /Group 108 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 149 0 R 150 0 R 151 0 R ] /Type /Page >> endobj 10 0 obj << /Contents 152 0 R /Parent 1 0 R /Resources 153 0 R /Group 108 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 156 0 R 157 0 R 158 0 R 159 0 R 160 0 R ] /Type /Page >> endobj 11 0 obj << /Contents 161 0 R /Parent 1 0 R /Resources 162 0 R /MediaBox [ 0 0 612 792 ] /Annots [ 164 0 R 165 0 R 166 0 R 167 0 R 168 0 R 169 0 R 170 0 R 171 0 R ] /Type /Page >> endobj 12 0 obj << /Contents 172 0 R /Parent 1 0 R /Type /Page /Resources 173 0 R /MediaBox [ 0 0 612 792 ] >> endobj 13 0 obj << /Length 2960 /Filter /FlateDecode >> stream xVYK?%U? MO$˖dq*hq?Kbg?>ZrfCN?h|?]????D\?#?AuAa T??nrʹW$E$E??He?E*n.|cqYht?Yvǒw?\9B{mײ?`~|?A^Fe?[?%3} =?q,+Fqh ;`\mDiZj?A ?q`Ov A|X,eNkHi??MGhSBQ` ;W?會E]MՈ!Bgc$??Tcߵ;l+"dR?pR|?f8ac[yHVۮvx"_uksX·?04? {?d? 

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