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  /external/opencv/ml/src/
mlrtrees.cpp 389 // predict oob samples
391 CV_CALL(predicted_node = tree->predict(&sample, &missing, true));
457 // predict "permuted" cases and calculate the number of votes for the
469 predct_resp = tree->predict(&sample, &missing, true)->value;
525 result += trees[i]->predict( sample1, missing1 ) ==
526 trees[i]->predict( sample2, missing2 ) ? 1 : 0;
535 float CvRTrees::predict( const CvMat* sample, const CvMat* missing ) const function in class:CvRTrees
539 CV_FUNCNAME("CvRTrees::predict");
551 CvDTreeNode* predicted_node = trees[k]->predict( sample, missing );
568 result += trees[k]->predict( sample, missing )->value
    [all...]
  /external/antlr/antlr-3.4/runtime/ActionScript/project/src/org/antlr/runtime/
DFA.as 56 /** From the input stream, predict what alternative will succeed
61 public function predict(input:IntStream):int { function
63 trace("Enter DFA.predict for decision "+decisionNumber);
91 if ( debug ) trace("accept; predict "+accept[s]+" from state "+s);
128 if ( debug ) trace("accept via EOF; predict "+accept[eof[s]]+" from "+eof[s]);
  /external/antlr/antlr-3.4/runtime/Java/src/main/java/org/antlr/runtime/
DFA.java 57 /** From the input stream, predict what alternative will succeed
62 public int predict(IntStream input) method in class:DFA
66 System.err.println("Enter DFA.predict for decision "+decisionNumber);
93 if ( debug ) System.err.println("accept; predict "+accept[s]+" from state "+s);
130 if ( debug ) System.err.println("accept via EOF; predict "+accept[eof[s]]+" from "+eof[s]);
  /hardware/intel/common/omx-components/videocodec/libvpx_internal/libvpx/examples/
vpx_temporal_scalable_patterns.c 313 // Layer 0: predict from L and ARF, update L and G.
316 // Layer 1: sync point: predict from L and ARF, and update G.
319 // Layer 0, predict from L and ARF, update L.
322 // Layer 1: predict from L, G and ARF, and update G.
376 // Layer 0: predict from L and ARF; update L and G.
379 // Layer 2: sync point: predict from L and ARF; update none.
383 // Layer 1: sync point: predict from L and ARF; update G.
386 // Layer 2: predict from L, G, ARF; update none.
389 // Layer 0: predict from L and ARF; update L.
392 // Layer 2: predict from L, G, ARF; update none
    [all...]
  /external/antlr/antlr-3.4/runtime/ObjC/Framework/
ANTLRDFA.h 48 // simulate the DFA using the static tables and predict an alternative
49 - (NSInteger) predict:(id<ANTLRCharStream>)anInput;
ANTLRDFA.m 50 - (NSInteger) predict:(id<ANTLRIntStream>)input
53 NSLog(@"Enter DFA.predict for decision %d", decisionNumber);
80 if ( debug > 2 ) NSLog(@"accept; predict %d from state %d", accept[s], s);
119 if ( debug > 2 ) NSLog(@"accept via EOF; predict %d from %d", accept[eof[s]], eof[s]);
  /external/skia/src/effects/
SkBlurMask.h 28 // is very small -- this can be used predict the margin bump ahead of time without completely
30 // but also being able to predict precisely at what pixels the blurred profile of e.g. a
  /frameworks/av/media/libstagefright/codecs/on2/h264dec/omxdl/reference/vc/m4p2/src/
omxVCM4P2_PredictReconCoefIntra.c 62 * following values: OMX_VC_HORIZONTAL - predict horizontally
63 * OMX_VC_VERTICAL - predict vertically
  /external/libvpx/libvpx/vp9/common/
vp9_scale.h 34 convolve_fn_t predict[2][2][2]; // horiz, vert, avg member in struct:scale_factors
  /external/opencv3/modules/ml/test/
test_lr.cpp 107 // predict using the same data
109 p->predict(tdata->getSamples(), responses);
169 lr1->predict(tdata->getSamples(), responses1);
183 lr2->predict(tdata->getSamples(), responses2);
test_save_load.cpp 217 model->predict(input, output, StatModel::RAW_OUTPUT | (isTree ? DTrees::PREDICT_SUM : 0));
289 svm1->predict(samples, r1);
290 svm2->predict(samples, r2);
291 svm3->predict(samples, r3);
  /prebuilts/go/darwin-x86/src/time/
sys_plan9.go 16 // cannot predict pid, don't want to kill group
  /prebuilts/go/linux-x86/src/time/
sys_plan9.go 16 // cannot predict pid, don't want to kill group
  /external/libvpx/libvpx/examples/
vp8_multi_resolution_encoder.c 221 // Layer 0: predict from L and ARF, update L and G.
225 // Layer 1: sync point: predict from L and ARF, and update G.
230 // Layer 0, predict from L and ARF, update L.
235 // Layer 1: predict from L, G and ARF, and update G.
276 // Layer 0: predict from L and ARF; update L and G.
280 // Layer 2: sync point: predict from L and ARF; update none.
287 // Layer 1: sync point: predict from L and ARF; update G.
292 // Layer 2: predict from L, G, ARF; update none.
298 // Layer 0: predict from L and ARF; update L.
303 // Layer 2: predict from L, G, ARF; update none
    [all...]
vpx_temporal_svc_encoder.c 348 // Layer 0: predict from L and ARF, update L and G.
351 // Layer 1: sync point: predict from L and ARF, and update G.
354 // Layer 0, predict from L and ARF, update L.
357 // Layer 1: predict from L, G and ARF, and update G.
411 // Layer 0: predict from L and ARF; update L and G.
414 // Layer 2: sync point: predict from L and ARF; update none.
418 // Layer 1: sync point: predict from L and ARF; update G.
421 // Layer 2: predict from L, G, ARF; update none.
424 // Layer 0: predict from L and ARF; update L.
427 // Layer 2: predict from L, G, ARF; update none
    [all...]
  /external/opencv3/samples/cpp/
logistic_regression.cpp 150 lr1->predict(data_test, responses);
169 // predict using loaded classifier
172 lr2->predict(data_test, responses2);
  /external/antlr/antlr-3.4/runtime/CSharp2/Sources/Antlr3.Runtime/Antlr.Runtime/
DFA.cs 77 * From the input stream, predict what alternative will succeed
83 public virtual int Predict(IIntStream input) {
85 Console.Error.WriteLine("Enter DFA.predict for decision " + decisionNumber);
114 Console.Error.WriteLine("accept; predict " + accept[s] + " from state " + s);
154 Console.Error.WriteLine("accept via EOF; predict " + accept[eof[s]] + " from " + eof[s]);
  /external/antlr/antlr-3.4/runtime/CSharp3/Sources/Antlr3.Runtime/
DFA.cs 90 * From the input stream, predict what alternative will succeed
96 public virtual int Predict( IIntStream input )
100 Console.Error.WriteLine( "Enter DFA.predict for decision " + decisionNumber );
136 Console.Error.WriteLine( "accept; predict " + accept[s] + " from state " + s );
181 Console.Error.WriteLine( "accept via EOF; predict " + accept[eof[s]] + " from " + eof[s] );
  /external/libvpx/libvpx/test/
error_resilience_test.cc 76 // Layer 0: predict from LAST and ARF, update LAST.
81 // Layer 0: predict from GF and ARF, update GF.
88 // Layer 1: predict from L, GF, and ARF, update GF.
92 // Layer 1: predict from GF and ARF, update GF.
305 // two layer temporal pattern. The base layer does not predict from the top
439 // Layer 0: predict from L and ARF, update L.
443 // Layer 1: predict from L, G and ARF, and update G.
449 // Layer 0: predict from L, update L.
453 // Layer 1: predict from L, G, update G.
457 // Layer 2: predict from L, G, ARF; update ARG
    [all...]
vp9_intrapred_test.cc 37 virtual void Predict(PREDICTION_MODE mode) = 0;
76 Predict(DC_PRED);
109 virtual void Predict(PREDICTION_MODE mode) {
  /external/antlr/antlr-3.4/tool/src/main/java/org/antlr/tool/
Interpreter.java 117 * predict which alternative will succeed. This is exactly what the
235 // decision point, must predict and jump to alt
245 int predictedAlt = predict(dfa);
395 public int predict(DFA dfa) { method in class:Interpreter
402 System.out.println("DFA.predict("+s.getStateNumber()+", "+
431 // woohoo! We know which alt to predict
  /external/libchrome/sandbox/linux/syscall_broker/
broker_client.h 28 // allows to predict some of the requests which will be denied
  /external/opencv3/apps/traincascade/
cascadeclassifier.h 100 int predict( int sampleIdx );
  /external/opencv3/samples/cpp/tutorial_code/ml/introduction_to_svm/
introduction_to_svm.cpp 45 float response = svm->predict(sampleMat);
  /frameworks/native/services/sensorservice/
Fusion.h 94 void predict(const vec3_t& w, float dT);

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